difference between a hypothesis vs prediction

• Key Differences

Know the Differences & Comparisons

Difference Between Hypothesis and Prediction

Due to insufficient knowledge, many misconstrue hypothesis for prediction, which is wrong, as these two are entirely different. Prediction is forecasting of future events, which is sometimes based on evidence or sometimes, on a person’s instinct or gut feeling. So take a glance at the article presented below, which elaborates the difference between hypothesis and prediction.

Content: Hypothesis Vs Prediction

Comparison chart, definition of hypothesis.

In simple terms, hypothesis means a sheer assumption which can be approved or disapproved. For the purpose of research, the hypothesis is defined as a predictive statement, which can be tested and verified using the scientific method. By testing the hypothesis, the researcher can make probability statements on the population parameter. The objective of the hypothesis is to find the solution to a given problem.

A hypothesis is a mere proposition which is put to the test to ascertain its validity. It states the relationship between an independent variable to some dependent variable. The characteristics of the hypothesis are described as under:

• It should be clear and precise.
• It should be stated simply.
• It must be specific.
• It should correlate variables.
• It should be consistent with most known facts.
• It should be capable of being tested.
• It must explain, what it claims to explain.

Definition of Prediction

A prediction is described as a statement which forecasts a future event, which may or may not be based on knowledge and experience, i.e. it can be a pure guess based on the instinct of a person. It is termed as an informed guess, when the prediction comes out from a person having ample subject knowledge and uses accurate data and logical reasoning, to make it.

Regression analysis is one of the statistical technique, which is used for making the prediction.

In many multinational corporations, futurists (predictors) are paid a good amount for making prediction relating to the possible events, opportunities, threats or risks. And to do so, the futurists, study all past and current events, to forecast future occurrences. Further, it has a great role to play in statistics also, to draw inferences about a population parameter.

Key Differences Between Hypothesis and Prediction

The difference between hypothesis and prediction can be drawn clearly on the following grounds:

• A propounded explanation for an observable occurrence, established on the basis of established facts, as an introduction to the further study, is known as the hypothesis. A statement, which tells or estimates something that will occur in future is known as the prediction.
• The hypothesis is nothing but a tentative supposition which can be tested by scientific methods. On the contrary, the prediction is a sort of declaration made in advance on what is expected to happen next, in the sequence of events.
• While the hypothesis is an intelligent guess, the prediction is a wild guess.
• A hypothesis is always supported by facts and evidence. As against this, predictions are based on knowledge and experience of the person making it, but that too not always.
• Hypothesis always have an explanation or reason, whereas prediction does not have any explanation.
• Hypothesis formulation takes a long time. Conversely, making predictions about a future happening does not take much time.
• Hypothesis defines a phenomenon, which may be a future or a past event. Unlike, prediction, which always anticipates about happening or non-happening of a certain event in future.
• The hypothesis states the relationship between independent variable and the dependent variable. On the other hand, prediction does not state any relationship between variables.

To sum up, the prediction is merely a conjecture to discern future, while a hypothesis is a proposition put forward for the explanation. The former, can be made by any person, no matter he/she has knowledge in the particular field. On the flip side, the hypothesis is made by the researcher to discover the answer to a certain question. Further, the hypothesis has to pass to various test, to become a theory.

You Might Also Like:

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Skip to primary navigation
• Skip to main content
• Skip to footer

Science Struck

What’s the Real Difference Between Hypothesis and Prediction

Both hypothesis and prediction fall in the realm of guesswork, but with different assumptions. This Buzzle write-up below will elaborate on the differences between hypothesis and prediction.

Like it? Share it!

“There is no justifiable prediction about how the hypothesis will hold up in the future; its degree of corroboration simply is a historical statement describing how severely the hypothesis has been tested in the past.” ― Robert Nozick, American author, professor, and philosopher

A lot of people tend to think that a hypothesis is the same as prediction, but this is not true. They are entirely different terms, though they can be manifested within the same example. They are both entities that stem from statistics, and are used in a variety of applications like finance, mathematics, science (widely), sports, psychology, etc. A hypothesis may be a prediction, but the reverse may not be true.

Also, a prediction may or may not agree with the hypothesis. Confused? Don’t worry, read the hypothesis vs. prediction comparison, provided below with examples, to clear your doubts regarding both these entities.

• A hypothesis is a kind of guess or proposition regarding a situation.
• It can be called a kind of intelligent guess or prediction, and it needs to be proved using different methods.
• Formulating a hypothesis is an important step in experimental design, for it helps to predict things that might take place in the course of research.
• The strength of the statement is based on how effectively it is proved while conducting experiments.
• It is usually written in the ‘If-then-because’ format.
• For example, ‘ If Susan’s mood depends on the weather, then she will be happy today, because it is bright and sunny outside. ‘. Here, Susan’s mood is the dependent variable, and the weather is the independent variable. Thus, a hypothesis helps establish a relationship.
• A prediction is also a type of guess, in fact, it is a guesswork in the true sense of the word.
• It is not an educated guess, like a hypothesis, i.e., it is based on established facts.
• While making a prediction for various applications, you have to take into account all the current observations.
• It can be testable, but just once. This goes to prove that the strength of the statement is based on whether the predicted event occurs or not.
• It is harder to define, and it contains many variations, which is why, probably, it is confused to be a fictional guess or forecast.
• For example, He is studying very hard, he might score an A . Here, we are predicting that since the student is working hard, he might score good marks. It is based on an observation and does not establish any relationship.

Factors of Differentiation

♦ Consider a statement, ‘If I add some chili powder, the pasta may become spicy’. This is a hypothesis, and a testable statement. You can carry on adding 1 pinch of chili powder, or a spoon, or two spoons, and so on. The dish may become spicier or pungent, or there may be no reaction at all. The sum and substance is that, the amount of chili powder is the independent variable here, and the pasta dish is the dependent variable, which is expected to change with the addition of chili powder. This statement thus establishes and analyzes the relationship between both variables, and you will get a variety of results when the test is performed multiple times. Your hypothesis may even be opposed tomorrow.

♦ Consider the statement, ‘Robert has longer legs, he may run faster’. This is just a prediction. You may have read somewhere that people with long legs tend to run faster. It may or may not be true. What is important here is ‘Robert’. You are talking only of Robert’s legs, so you will test if he runs faster. If he does, your prediction is true, if he doesn’t, your prediction is false. No more testing.

♦ Consider a statement, ‘If you eat chocolates, you may get acne’. This is a simple hypothesis, based on facts, yet necessary to be proven. It can be tested on a number of people. It may be true, it may be false. The fact is, it defines a relationship between chocolates and acne. The relationship can be analyzed and the results can be recorded. Tomorrow, someone might come up with an alternative hypothesis that chocolate does not cause acne. This will need to be tested again, and so on. A hypothesis is thus, something that you think happens due to a reason.

♦ Consider a statement, ‘The sky is overcast, it may rain today’. A simple guess, based on the fact that it generally rains if the sky is overcast. It may not even be testable, i.e., the sky can be overcast now and clear the next minute. If it does rain, you have predicted correctly. If it does not, you are wrong. No further analysis or questions.

Both hypothesis and prediction need to be effectively structured so that further analysis of the problem statement is easier. Remember that, the key difference between the two is the procedure of proving the statements. Also, you cannot state one is better than the other, this depends entirely on the application in hand.

Get Updates Right to Your Inbox

Privacy overview.

Hypothesis vs. Prediction

What's the difference.

Hypothesis and prediction are both important components of the scientific method, but they serve different purposes. A hypothesis is a proposed explanation or statement that can be tested through experimentation or observation. It is based on prior knowledge, observations, or theories and is used to guide scientific research. On the other hand, a prediction is a specific statement about what will happen in a particular situation or experiment. It is often derived from a hypothesis and serves as a testable outcome that can be confirmed or refuted through data analysis. While a hypothesis provides a broader framework for scientific inquiry, a prediction is a more specific and measurable expectation of the results.

Further Detail

Introduction.

When it comes to scientific research and inquiry, two important concepts that often come into play are hypothesis and prediction. Both of these terms are used to make educated guesses or assumptions about the outcome of an experiment or study. While they share some similarities, they also have distinct attributes that set them apart. In this article, we will explore the characteristics of hypothesis and prediction, highlighting their differences and similarities.

A hypothesis is a proposed explanation or statement that can be tested through experimentation or observation. It is typically formulated based on existing knowledge, observations, or theories. A hypothesis is often used as a starting point for scientific research, as it provides a framework for investigation and helps guide the research process.

One of the key attributes of a hypothesis is that it is testable. This means that it can be subjected to empirical evidence and observations to determine its validity. A hypothesis should be specific and measurable, allowing researchers to design experiments or gather data to either support or refute the hypothesis.

Another important aspect of a hypothesis is that it is falsifiable. This means that it is possible to prove the hypothesis wrong through experimentation or observation. Falsifiability is crucial in scientific research, as it ensures that hypotheses can be objectively tested and evaluated.

Hypotheses can be classified into two main types: null hypotheses and alternative hypotheses. A null hypothesis states that there is no significant relationship or difference between variables, while an alternative hypothesis proposes the existence of a relationship or difference. These two types of hypotheses are often used in statistical analysis to draw conclusions from data.

In summary, a hypothesis is a testable and falsifiable statement that serves as a starting point for scientific research. It is specific, measurable, and can be either a null or alternative hypothesis.

While a hypothesis is a proposed explanation or statement, a prediction is a specific outcome or result that is anticipated based on existing knowledge or theories. Predictions are often made before conducting an experiment or study and serve as a way to anticipate the expected outcome.

Unlike a hypothesis, a prediction is not necessarily testable or falsifiable on its own. Instead, it is used to guide the research process and provide a basis for comparison with the actual results obtained from the experiment or study. Predictions can be based on previous research, theoretical models, or logical reasoning.

One of the key attributes of a prediction is that it is specific and precise. It should clearly state the expected outcome or result, leaving little room for ambiguity. This allows researchers to compare the prediction with the actual results and evaluate the accuracy of their anticipated outcome.

Predictions can also be used to generate hypotheses. By making a prediction and comparing it with the actual results, researchers can identify discrepancies or unexpected findings. These observations can then be used to formulate new hypotheses and guide further research.

In summary, a prediction is a specific anticipated outcome or result that is not necessarily testable or falsifiable on its own. It serves as a basis for comparison with the actual results obtained from an experiment or study and can be used to generate new hypotheses.

Similarities

While hypotheses and predictions have distinct attributes, they also share some similarities in the context of scientific research. Both hypotheses and predictions are based on existing knowledge, observations, or theories. They are both used to make educated guesses or assumptions about the outcome of an experiment or study.

Furthermore, both hypotheses and predictions play a crucial role in the scientific method. They provide a framework for research, guiding the design of experiments, data collection, and analysis. Both hypotheses and predictions are subject to evaluation and revision based on empirical evidence and observations.

Additionally, both hypotheses and predictions can be used to generate new knowledge and advance scientific understanding. By testing hypotheses and comparing predictions with actual results, researchers can gain insights into the relationships between variables, uncover new phenomena, or challenge existing theories.

Overall, while hypotheses and predictions have their own unique attributes, they are both integral components of scientific research and inquiry.

In conclusion, hypotheses and predictions are important concepts in scientific research. While a hypothesis is a testable and falsifiable statement that serves as a starting point for investigation, a prediction is a specific anticipated outcome or result that guides the research process. Hypotheses are specific, measurable, and can be either null or alternative, while predictions are precise and serve as a basis for comparison with actual results.

Despite their differences, hypotheses and predictions share similarities in terms of their reliance on existing knowledge, their role in the scientific method, and their potential to generate new knowledge. Both hypotheses and predictions contribute to the advancement of scientific understanding and play a crucial role in the research process.

By understanding the attributes of hypotheses and predictions, researchers can effectively formulate research questions, design experiments, and analyze data. These concepts are fundamental to the scientific method and are essential for the progress of scientific research and inquiry.

Comparisons may contain inaccurate information about people, places, or facts. Please report any issues.

Hypotheses Versus Predictions

Hypotheses and predictions are not the same thing..

Posted January 12, 2018

Blogs are not typically places where professors post views about arcane matters. But blogs have the advantage of providing places to convey quick messages that may be of interest to selected parties. I've written this blog to point students and others to a spot where a useful distinction is made that, as far as I know, hasn't been made before. The distinction concerns two words that are used interchangeably though they shouldn't be. The words are hypothesis (or hypotheses) and prediction (or predictions).

It's not uncommon to see these words swapped for each other willy-nilly, as in, "We sought to test the hypothesis that the two groups in our study would remember the same number of words," or "We sought to test the prediction that the two groups in our study would remember the same number of words." Indifference to the contrast in meaning between "hypothesis" and "prediction" is unfortunate, in my view, because "hypothesis" and "prediction" (or "hypotheses" and "predictions") mean very different things. A student proposing an experiment, or an already-graduated researcher doing the same, will have more gravitas if s/he states a hypothesis from which a prediction follows than if s/he proclaims a prediction from thin air.

Consider the prediction that the time for two balls to drop from the Tower Pisa will be the same if the two balls have different mass. This is the famous prediction tested (or allegedly tested) by Galileo. This experiment — one of the first in the history of science — was designed to test two contrasting predictions. One was that the time for the two balls to drop would be the same. The other was that the time for the heavier ball to drop would be shorter. (The third possibility, that the lighter ball would drop more quickly, was logically possible but not taken seriously.) The importance of the predictions came from the hypotheses on which they were based. Those hypotheses couldn't have been more different. One stemmed from Aristotle and had an entire system of assumptions about the world's basic elements, including the idea that motion requires a driving force, with the force being greater for a heavier object than a lighter one, in which case the heavier object would land first. The other hypothesis came from an entirely different conception which made no such assumptions, as crystallized (later) by Newton. It led to the prediction of equivalent drop times. Dropping two balls and seeing which, if either, landed first was a more important experiment if it was motivated by different hypotheses than if it was motivated by two different off-the-cuff predictions. Predictions can be ticked off by a monkey at a typewriter, so to speak. Anyone can list possible outcomes. That's not good (interesting) science.

Let me say this, then, to students or colleagues reading this (some of whom might be people to whom I give the URL for this blog): Be cognizant of the distinction between "hypotheses" and "predictions." Hypotheses are claims or educated guesses about the world or the part of it you are studying. Predictions are derived from hypotheses and define opportunities for seeing whether expected consequences of hypotheses are observed. Critically, if a prediction is confirmed — if the data agree with the prediction — you can say that the data are consistent with the prediction and, from that point onward you can also say that the data are consistent with the hypothesis that spawned the prediction. You can't say that the data prove the hypothesis, however. The reason is that any of an infinite number of other hypotheses might have caused the outcome you obtained. If you say that a given data pattern proves that such-and-such hypothesis is correct, you will be shot down, and rightly so, for any given data pattern can be explained by an infinite number of possible hypotheses. It's fine to say that the data you have are consistent with a hypothesis, and it's fine for you to say that a hypothesis is (or appears to be) wrong because the data you got are inconsistent with it. The latter outcome is the culmination of the hypothetico-deductive method, where you can say that a hypothesis is, or seems to be, incorrect if you have data that violates it, but you can never say that a hypothesis is right because you have data consistent with it; some other hypothesis might actually correspond to the true explanation of what you found. By creating hypotheses that lead to different predictions, you can see which prediction is not supported, and insofar as you can make progress by rejecting hypotheses, you can depersonalize your science by developing hypotheses that are worth disproving. The worth of a hypothesis will be judged by how resistant it is to attempts at disconfirmation over many years by many investigators using many methods.

Some final comments.... First, hypotheses don't predict; people do. You can say that a prediction arose from a hypothesis, but you can't say, or shouldn't say, that a hypothesis predicts something.

Second, beware of the admonition that hypotheses are weak if they predict no differences. Newtonian mechanics predicts no difference in the landing times of heavy and light objects dropped from the same height at the same time. The fact that Newtonian mechanics predicts no difference hardly means that Newtonian mechanics is lightweight. Instead, the prediction of no difference in landing times demands creation of extremely sensitive experiments. Anyone can get no difference with sloppy experiments. By contrast, getting no difference when a sophisticated hypothesis predicts none and when one has gone to great lengths to detect even the tiniest possible difference ... now that's good science.

Third and finally, according to the hypothesis that a blog about hypotheses versus predictions will prove informative, the prediction that follows is that those who read and heed this blog will exhibit less confusion about which term to use when. More important, they will exhibit greater gravitas and deeper thoughtfulness as they generate their hypotheses and subsequent predictions. I hope this blog will prove useful. Its utility will be judged by how long it takes to disconfirm the prediction I have just advanced.

David A. Rosenbaum, Ph.D. , is a cognitive psychologist and a Distinguished Professor of Psychology at the University of California, Riverside.

• Find a Therapist
• Find a Treatment Center
• Find a Psychiatrist
• Find a Support Group
• Find Teletherapy
• United States
• Brooklyn, NY
• Chicago, IL
• Houston, TX
• Los Angeles, CA
• New York, NY
• Portland, OR
• San Diego, CA
• San Francisco, CA
• Seattle, WA
• Washington, DC
• Asperger's
• Bipolar Disorder
• Chronic Pain
• Eating Disorders
• Passive Aggression
• Personality
• Goal Setting
• Positive Psychology
• Stopping Smoking
• Low Sexual Desire
• Relationships
• Child Development
• Therapy Center NEW
• Diagnosis Dictionary
• Types of Therapy

Understanding what emotional intelligence looks like and the steps needed to improve it could light a path to a more emotionally adept world.

• Coronavirus Disease 2019
• Affective Forecasting
• Neuroscience

Home » Language » English Language » Words and Meanings » What is the Difference Between Hypothesis and Prediction

What is the Difference Between Hypothesis and Prediction

The main difference between hypothesis and prediction is that the hypothesis proposes an explanation to something which has already happened whereas the prediction proposes something that might happen in the future.

Hypothesis and prediction are two significant concepts that give possible explanations to several occurrences or phenomena. As a result, one may be able to draw conclusions that assist in formulating new theories , which can affect the future advancements in the human civilizations. Thus, both these terms are common in the field of science, research and logic. In addition, to make a prediction, one should need evidence or observation whereas one can formulate a hypothesis based on limited evidence .

Key Areas Covered

1. What is a Hypothesis      – Definition, Features 2. What is a Prediction      – Definition, Features 3. What is the Relationship Between Hypothesis and Prediction      – Outline of Common Features 4. What is the Difference Between Hypothesis and Prediction      – Comparison of Key Differences

Hypothesis, Logic, Prediction, Theories, Science

What is a Hypothesis

By definition, a hypothesis refers to a supposition or a proposed explanation made on the basis of limited evidence as a starting point for further investigation. In brief, a hypothesis is a proposed explanation for a phenomenon.  Nevertheless, this is based on limited evidence, facts or information one has based on the underlying causes of the problem. However, it can be further tested by experimentation. Therefore, this is yet to be proven as correct.

This term hypothesis is, thus, used often in the field of science and research than in general usage. In science, it is termed as a scientific hypothesis. However, a scientific hypothesis has to be tested by a scientific method. Moreover, scientists usually base scientific hypotheses on previous observations which cannot be explained by the existing scientific theories.

Figure 01: A Hypothesis on Colonial Flagellate

In research studies, a hypothesis is based on independent and dependent variables. This is known as a ‘working hypothesis’, and it is provisionally accepted as a basis for further research, and often serves as a conceptual framework in qualitative research. As a result, based on the gathered facts in research, the hypothesis tends to create links or connections between the different variables. Thus, it will work as a source for a more concrete scientific explanation.

Hence, one can formulate a theory based on the hypothesis to lead on the investigation to the problem. A strong hypothesis can create effective predictions based on reasoning. As a result, a hypothesis can predict the outcome of an experiment in a laboratory or the observation of a natural phenomenon. Hence, a hypothesis is known as an ‘educated guess’.

What is a Prediction

A prediction can be defined as a thing predicted or a forecast. Hence, a prediction is a statement about something that might happen in the future. Thus, one can guess as to what might happen based on the existing evidence or observations.

In the general context, although it is difficult to predict the uncertain future, one can draw conclusions as to what might happen in the future based on the observations of the present. This will assist in avoiding negative consequences in the future when there are dangerous occurrences in the present.

Moreover, there is a link between hypothesis and prediction. A strong hypothesis will enable possible predictions. This link between a hypothesis and a prediction can be clearly observed in the field of science.

Figure 2: Weather Predictions

Hence, in scientific and research studies, a prediction is a specific design that can be used to test one’s hypothesis. Thus, the prediction is the outcome one can observe if their hypothesis were supported with experiment. Moreover, predictions are often written in the form of “if, then” statements; for example, “if my hypothesis is true, then this is what I will observe.”

Relationship Between Hypothesis and Prediction

• Based on a hypothesis, one can create a prediction
• Also, a hypothesis will enable predictions through the act of deductive reasoning.
• Furthermore, the prediction is the outcome that can be observed if the hypothesis were supported proven by the experiment.

Difference Between Hypothesis and Prediction

Hypothesis refers to the supposition or proposed explanation made on the basis of limited evidence, as a starting point for further investigation. On the other hand, prediction refers to a thing that is predicted or a forecast of something. Thus, this explains the main difference between hypothesis and prediction.

Interpretation

Hypothesis will lead to explaining why something happened while prediction will lead to interpreting what might happen according to the present observations. This is a major difference between hypothesis and prediction.

Another difference between hypothesis and prediction is that hypothesis will result in providing answers or conclusions to a phenomenon, leading to theory, while prediction will result in providing assumptions for the future or a forecast.

While a hypothesis is directly related to statistics, a prediction, though it may invoke statistics, will only bring forth probabilities.

Moreover, hypothesis goes back to the beginning or causes of the occurrence while prediction goes forth to the future occurrence.

The ability to be tested is another difference between hypothesis and prediction. A hypothesis can be tested, or it is testable whereas a prediction cannot be tested until it really happens.

Hypothesis and prediction are integral components in scientific and research studies. However, they are also used in the general context. Hence, hypothesis and prediction are two distinct concepts although they are related to each other as well. The main difference between hypothesis and prediction is that hypothesis proposes an explanation to something which has already happened whereas prediction proposes something that might happen in the future.

1. “Prediction.” Wikipedia, Wikimedia Foundation, 17 Sept. 2018, Available here . 2. “Hypothesis.” Wikipedia, Wikimedia Foundation, 20 Sept. 2018, Available here . 3. Bradford, Alina. “What Is a Scientific Hypothesis? | Definition of Hypothesis.” LiveScience, Purch, 26 July 2017, Available here . 4. “Understanding Hypotheses and Predictions.” The Academic Skills Centre Trent University, Available here .

Image Courtesy:

1. “Colonial Flagellate Hypothesis” By Katelynp1 – Own work (CC BY-SA 3.0) via Commons Wikimedia 2. “USA weather forecast 2006-11-07” By NOAA – (Public Domain) via Commons Wikimedia

About the Author: Upen

Upen, BA (Honours) in Languages and Linguistics, has academic experiences and knowledge on international relations and politics. Her academic interests are English language, European and Oriental Languages, Internal Affairs and International Politics, and Psychology.

​You May Also Like These

Leave a reply cancel reply.

• Organizations
• Planning & Activities
• Product & Services
• Structure & Systems
• Career & Education
• Entertainment
• Fashion & Beauty
• Political Institutions
• SmartPhones
• Protocols & Formats
• Communication
• Web Applications
• Household Equipments
• Career and Certifications
• Diet & Fitness
• Mathematics & Statistics
• Processed Foods
• Vegetables & Fruits
• Difference Between Hypothesis and Prediction

• Categorized under Science | Difference Between Hypothesis and Prediction

Hypothesis vs Prediction

The terms “hypothesis” and “prediction” are often used interchangeably by some people. However, this should not be the case because the two are completely different. While a hypothesis is a guess that is predominantly used in science, a prediction is a guess that is mostly accepted out of science.

A hypothesis is otherwise known as a good or intelligent guess. It assumes the nature of the less known or even the unknown. Being described as intelligent would mean that hypotheses are based on a series of experiments and are grounded by facts. By using the gathered facts, a hypothesis tends to create relationships between different variables which will serve as the source of a more concrete and scientific explanation.

For example, a hypothesis can be formulated from analyzing the relationship of the learner’s study habits and the level of test anxiety experienced during an examination. It is also because of the linking of variables (dependent and independent) that often make hypotheses structurally longer than predictions.

Moreover, hypotheses are testable guesses about the things that you’d expect to take place in your research study. Aside from generating a conclusion, formulating hypotheses is another aim of experimentation.

By contrast, a prediction is much harder to define because there are many variations of predictions depending on what situation or context you’re trying to look at. Like a hypothesis, it is still another type of guess that can either be scientific or fictional (even prophetic). But because of the latter, it comes as no surprise that many associate predictions with guesses that come straight out from someone’s mind.

A person who predicts usually has little or no knowledge of the subject matter being predicted although there are some predictions that may still be based on observable facts. With fictional predictions, however, you will usually encounter guessing the possible outcomes or events. One of the popular predictions today is the prediction of the end of the days which is bound to take place late in the year 2012. This will also lead to associating predictions with self-proclaimed prophets and fortunetellers alike.

Perhaps the biggest difference between the two is the methodology of proving each of them. A prediction can actually be proven either wrong or right with the non-occurrence or occurrence of a certain event. And the story ends after that. A hypothesis is a different story because its proving methods can be done in multiple stages. This means that one scientist can disprove a hypothesis today by using his scientific system, and later on another scientist can prove that it is actually correct using another type of scientific tool.

1.A hypothesis is a more intelligent guess. 2.Hypotheses analyze the relationships between existing variables. 3.Hypotheses are usually structured longer than predictions. 4.Predictions are often fictional which are a pure guess with no factual bases. 5.Predictions are linked to foretelling future events. 6.Predictions can be proven only once while a hypothesis can still end up as a hypothesis even if it has already been proven because another scientific inquiry might prove it contrary in the future.

• Recent Posts
• Difference Between Plant Protein and Animal Protein - March 7, 2024
• Difference Between Crohn’s and Colitis - March 7, 2024
• Difference Between Expression and Equation - March 7, 2024

Sharing is caring!

Search DifferenceBetween.net :

• Difference Between Null and Alternative Hypothesis
• Difference Between Hypothesis and Aim
• Difference between Hypothesis and Theory
• Difference between Fact and Theory

Cite APA 7 , . (2011, August 17). Difference Between Hypothesis and Prediction. Difference Between Similar Terms and Objects. http://www.differencebetween.net/science/difference-between-hypothesis-and-prediction/. MLA 8 , . "Difference Between Hypothesis and Prediction." Difference Between Similar Terms and Objects, 17 August, 2011, http://www.differencebetween.net/science/difference-between-hypothesis-and-prediction/.

hypothesis / science can not be proved, but they can be supported by facts

Leave a Response

Name ( required )

Email ( required )

Please note: comment moderation is enabled and may delay your comment. There is no need to resubmit your comment.

Notify me of followup comments via e-mail

Written by : Julita. and updated on 2011, August 17 Articles on DifferenceBetween.net are general information, and are not intended to substitute for professional advice. The information is "AS IS", "WITH ALL FAULTS". User assumes all risk of use, damage, or injury. You agree that we have no liability for any damages.

Advertisments

More in 'science'.

• Difference Between El Nino and La Nina
• Difference Between Constipation and Bowel Obstruction
• Difference Between Psychopath and Sociopath
• Difference Between Climate Change and Global Warming
• Difference Between IQ and EQ

Top Difference Betweens

Get new comparisons in your inbox:, most emailed comparisons, editor's picks.

• Difference Between MAC and IP Address
• Difference Between Platinum and White Gold
• Difference Between Civil and Criminal Law
• Difference Between GRE and GMAT
• Difference Between Immigrants and Refugees
• Difference Between DNS and DHCP
• Difference Between Computer Engineering and Computer Science
• Difference Between Men and Women
• Difference Between Book value and Market value
• Difference Between Red and White wine
• Difference Between Depreciation and Amortization
• Difference Between Bank and Credit Union
• Difference Between White Eggs and Brown Eggs

Hypothesis vs. Prediction: What's the Difference?

Key Differences

Comparison chart, testability, impact of incorrectness, hypothesis and prediction definitions, what happens if a prediction is wrong, what is the primary purpose of a hypothesis, can one hypothesis lead to multiple predictions, are hypotheses limited to scientific research, can predictions be made without a hypothesis, how is a prediction related to a hypothesis, can a hypothesis be proven, what makes a good hypothesis, how is a hypothesis different from a theory, what should one do if the hypothesis is not supported by evidence, how are predictions useful in experiments, can a hypothesis change over time, why is it essential for a prediction to be specific, are predictions always about the future, can multiple predictions validate a single hypothesis, is a hypothesis always correct, are all predictions accurate, what role do hypotheses and predictions play in the scientific method, can a hypothesis be a question, can predictions be qualitative.

Trending Comparisons

Popular Comparisons

New Comparisons

Hypothesis vs Prediction: Difference and Comparison

Hypothesis and prediction appear to be the same, which is involved in the process of bringing solutions for the future. A Hypothesis is an initial step towards decision-making.

A hypothesis is an assumption statement that is framed in order to arrive at a decision about the population based on the random sample taken from the population.

Key Takeaways A hypothesis forms a tentative explanation for a phenomenon, while a prediction anticipates the outcome of an event. Hypotheses stem from scientific theories, whereas predictions arise from hypotheses. Researchers test hypotheses through experiments while they confirm or refute predictions based on observed results.

Hypothesis vs Prediction

The difference between hypothesis and prediction is that hypothesis is a statement that is assumed about the relationship between the sample and the population. Whereas, prediction is the second stage after descriptive analysis and before prescriptive analysis.

The hypothesis can be classified into various types according to their relationship and assumption criteria. They are the Null Hypothesis and Alternative Hypothesis, which are based on the nature of the assumption.

The other two types which are based on the relationship between the sample and the population, are the Simple hypothesis and Composite Hypothesis.

Similar Reads

• Inference vs Prediction: Difference and Comparison
• Forecasting vs Prediction: Difference and Comparison
• Research Question vs Hypothesis: Difference and Comparison
• Hypothesis vs Aim: Difference and Comparison

Prediction is the second step in the process of analysis, which is focused on forecasting . It is used in Time Series and Forecasting to predict future changes and development.

There are various methods and models involved in the process of prediction, such ARIMA model, SARIMA model, and so on.

Comparison Table

What is hypothesis.

A hypothesis is an initial process testing whether there is any relationship between the population and the sample taken from the population. This analysis of the relationship would help in determining and framing decisions towards the population.

Framing an assumption, testing it using statistics, and deriving a conclusion is called Hypothesis Testing.

Null Hypothesis and Alternative Hypothesis are framed as an initial step, which forms the basis of testing. Simple and composite hypotheses are the building blocks of hypothesis testing.

There are various theorems that are determined based on the hypothesis that we are choosing.

There are various steps involved in the hypothesis testing process. The first step would be framing the hypothesis, which is the null hypothesis and alternative hypothesis.

Then proceeding further with the level of significance, Statistic formulation, and comparing it with the level of significance to either accept or reject the null or alternative hypothesis.

The hypothesis statement framing is a very important process in the theory of statistics. Statistics has two main branches, one is the Estimation theory, and the other is the Testing of Hypothesis.

These two branches are regarded to be the backbone of Statistics.

What is Prediction?

Prediction is the process of using data and statistical techniques to bring out useful insights about the future. There are various tools and techniques employed in the process of predictive analysis.

Predictive analysis forms the basis of Forecasting. Forecasting helps in developing the business process.

Prediction helps in answering questions related to future development. What will the development scale of the company be in the period of 5 years hence?

Such questions will be answered using the prediction process. It is regarded as the most important technique in the production and improvement process.

Prediction involves analyzing past data, using various tools and techniques in statistics such as the method of least squares, likelihood function, distribution function, and so on, and then building various optimizing and stimulation models for forecasting.

It is a kind of analysis that is the process of predicting the future.

Predictions help in detecting flaws in any system, optimizing and minimizing risks, improving operations, and reducing future risks. It is helpful in developing and improving the techniques for future analyses.

Main Differences Between Hypothesis and Prediction

• A hypothesis is an explanation about a population based on the sample taken from the population, whereas prediction is the technique of predicting what will happen in the future.
• Hypothesis employs variables and parameters in its process of analysis, whereas prediction employs past data in its process of prediction analysis.
• The hypothesis is involved in the testing of hypothesis theory, while Prediction is involved in forecasting theory and time series analysis.
• The hypothesis involves dependent and independent variables in the statistical theory, and prediction analysis involves various theorems and techniques which predict a series of data for the required period.
• An example statement describing the hypothesis is, ” There is an increase in the number of defects in the products manufactured.’ The example statement describing Prediction is, “As there is an increase in the number of defects in the manufactured products, we need to analyze the manufacturing methodology”.

• https://www.journals.uchicago.edu/doi/pdf/10.1093/bjps/VIII.32.281
• https://science.sciencemag.org/content/307/5707/219.abstract

Last Updated : 28 July, 2023

I’ve put so much effort writing this blog post to provide value to you. It’ll be very helpful for me, if you consider sharing it on social media or with your friends/family. SHARING IS ♥️

Emma Smith holds an MA degree in English from Irvine Valley College. She has been a Journalist since 2002, writing articles on the English language, Sports, and Law. Read more about me on her bio page .

Share this post!

24 thoughts on “hypothesis vs prediction: difference and comparison”.

The article provides a comprehensive overview of hypothesis and prediction, effectively outlining their distinct roles in statistical analysis.

I particularly found the detailed comparison table between hypothesis and prediction to be very informative, aiding in their clear understanding.

The article effectively explains the role of hypotheses in statistical inference and the crucial process of prediction in forecasting future developments.

I appreciate the detailed comparison between hypothesis and prediction, shedding light on their different applications in statistical analysis.

Absolutely, it’s insightful to understand how each concept contributes to the decision-making process.

The article effectively distinguishes between hypothesis and prediction, offering clarity on their roles in the statistical analysis process.

I particularly found the comparison table detailing the parameters of hypothesis and prediction to be very informative and clear.

Agreed. The article provides a comprehensive understanding of the different types of hypotheses and the step-by-step process of hypothesis testing.

This article effectively outlines the importance of hypotheses in statistical analysis and the process of prediction in forecasting future developments.

The detailed explanation of each concept provides valuable insights into their roles in the field of statistical analysis.

The article provides a clear and detailed comparison between hypothesis and prediction, providing a comprehensive understanding of their applications in statistical analysis.

Absolutely, understanding the differences between these concepts is crucial for making data-driven decisions and forecasting future developments accurately.

The comprehensive explanation of both hypothesis and prediction in the article provides valuable insights into their significance in the decision-making process.

Absolutely, the article effectively details the different types of hypotheses and the predictive analysis methods, aiding in a better understanding of their roles.

Agreed. The article presents a clear comparison between hypothesis and prediction, highlighting their respective contributions to statistical analysis.

The article does a great job of explaining the crucial differences between hypothesis and prediction, and how they both function in the decision-making process.

Absolutely, these concepts play a vital role in statistical inference and forecasting.

I agree, it’s essential to understand the distinction between a hypothesis and a prediction in order to make informed decisions based on data.

The article provides comprehensive information, covering various types of hypotheses and the methods involved in predictive analysis.

Indeed, the article effectively highlights the significance of hypotheses and predictions in statistical analysis.

The article effectively explains the conceptual differences between hypothesis and prediction, providing valuable insights into their roles in decision-making and forecasting.

Absolutely, the detailed explanation of the concepts aids in better understanding their applications and significance in statistical analysis.

The article does an excellent job of explaining the vital role of hypotheses and predictions in statistical decision-making and forecasting future developments.

Absolutely, understanding these concepts is essential for accurate data-driven decision-making and forecasting.

Leave a Comment Cancel reply

Save my name, email, and website in this browser for the next time I comment.

Want to save this article for later? Click the heart in the bottom right corner to save to your own articles box!

Difference Between Hypothesis and Prediction

Edited by Diffzy | Updated on: June 06, 2023

Why read @ Diffzy

Our articles are well-researched

We make unbiased comparisons

Our content is free to access

We are a one-stop platform for finding differences and comparisons

We compare similar terms in both tabular forms as well as in points

• Introduction

The terms hypothesis and prediction are frequently used synonymously. Are they the same, though? Science is the key to understanding the distinction between a hypothesis and a prediction.

• Hypothesis vs Prediction

The essential tool for conducting research is hypothesis . Most of the experiments are carried out with the sole purpose of testing the hypothesis, and it also suggests other experiments and observations. Prediction is the foretelling of future events, and it can be based on intuition or facts in some cases.

• Difference between Hypothesis and Prediction (In Tabular Form)

A compelling, succinct statement that serves as the foundation for your research is called a hypothesis. It differs from a thesis statement, which is a condensed synopsis of your research study.

A hypothesis has only one objective: to foretell the facts, information, and conclusion of your work. It comes from an intuitive and curious place. Hypothesis writing is essentially making an educated guess based on evidence and scientific bias, which is then confirmed or disproved using the scientific method.

The goal of the research is to observe a certain phenomenon. Therefore, a hypothesis describes what the said phenomenon is. A dependent variable and an independent variable are used to achieve this.

The cause of the observation is the independent variable, and the result of the cause is the dependent variable. The adage "mixing red and blue forms purple" is a nice illustration of this. Because you can blend red and blue whatever you like, it is the independent variable in this hypothesis. In this instance, the development of purple is the dependent variable because it depends on the independent variable.

Types of Hypotheses

• Null Hypothesis: - A null hypothesis states that there is no association between two variables. H0 represents a negative statement, such as "attending physical therapy sessions does not affect the performance of athletes on the field." The author claims that physical therapy sessions do not affect the performance of athletes on the field. It would still only be a coincidence even then.
• Alternative Hypothesis: - A null hypothesis is designated as H0, whereas an alternative hypothesis is designated as H1 or Ha. It is clearly stated that the independent variable affects the independent variable. A good example of a competing hypothesis is "Athletes perform better on the field when they attend physiotherapy sessions." either that or "Water evaporates at 100°C."

The non-directional and directional branches of the alternative theory are: -

• Directional Hypothesis: - A directional hypothesis is one that predicts the outcome will either be positive or negative. It follows H1 with either the "<" or ">" symbol.
• Non-directional Hypothesis: - Only the dependent variable is said to be affected by a non-directional hypothesis. It is not specified whether the result is positive or negative. A non-directional hypothesis has the sign "≠".
• Simple Hypothesis: - A direct hypothesis is a claim that there exists a relationship between the dependent and independent variables. The sentence "Smoking is the most common cause of lung cancer" is an example. Lung cancer is a dependent variable and smoking is an independent variable that impacts it.
• Complex Hypothesis: - A complicated hypothesis suggests the relationship between numerous independent and dependent variables, in contrast to a simple hypothesis. For example, people who eat more fruit tend to have higher immunity, lower cholesterol, and higher metabolism. Higher fertility is the independent variable, while higher immunity, lower cholesterol, and faster metabolism are the dependent variables.
• Associative and Casual Hypothesis: - Casual and associative hypotheses do not indicate the number of variables. They specify how the variables are related to one another. In an associative hypothesis, altering any one dependent or independent variable has an impact on all the others. In a haphazard hypothesis, the dependent is directly impacted by the independent variable.
• An empirical hypothesis, often known as the working hypothesis, asserts that tests and observational data have validated a theory. This makes the claim seem more credible and distinguishable from a hunch.

For example, "Women who take iron tablets face a lesser risk of anemia than those who take vitamin B12." This is an illustration of an empirical hypothesis, in which the researcher makes the claim after analyzing the data from a group of women who use iron supplements and graphing the results.

• Statistical Hypothesis: - A statistical hypothesis is intended to evaluate an existing hypothesis through the analysis of a population sample. Evidence is used to support or refute hypotheses, such as "44% of the Indian population belongs in the age group of 22-27."

Fundamentals Of a Good Hypothesis

Writing a hypothesis is crucial since it has the power to make or break your research. That also applies to your potential for journal publication. Therefore, keep an eye out for the following advice when creating one:

• A research hypothesis must be both straightforward and well-justified.
• It must be testable; otherwise, your research would be useless because it is too technologically or realistically improbable.
• It must be specific regarding the outcomes; your hypothesis should explain what you are attempting to accomplish.
• An effective research hypothesis should be self-explanatory and clear to the reader.
• The variables must be considered while creating a relational hypothesis, and their relationships must be reasonable.
• A hypothesis needs to consider and reflect the potential for more research and experimentation.

How To Write a Good Hypothesis

• State your research question clearly: - An immediate answer to the research question or problem statement should be included in the hypothesis. You need to pose a query to do that. Create a straightforward, topic-centric challenge after understanding the limitations of the study topic you have chosen. Only then can you formulate a hypothesis and do additional research to gather data.
• Conduct an inspection: - Preliminary research should be carried out as soon as the framework for your study has been established. Before you begin curating your research idea, read through previous hypotheses, academic articles, data, and trials. It will help you determine the uniqueness or viability of your notion.
• Make a three-dimensional theory: - Every plausible hypothesis must include variables. Create a correlation between your independent and dependent variables by identifying them. Writing the hypothetical assumption in the 'if-then' format is the best method to do this. Make sure to indicate the predetermined relationship between the variables if you use this form.
• Write the first draft: - It's time to compose your hypothesis now that everything is set up. Start by writing the first draft. Write what you anticipate your research to turn up in this edition. Your independent and dependent variables, as well as the connection between them, should be distinct. At this point, don't get caught up in syntax. Make sure your theory addresses the problem.
• Proving the Hypothesis: - You must carefully review your hypothesis after creating the initial draft of it. It should meet all the requirements, including being succinct, clear, pertinent, and correct. Additionally, your concluding hypothesis ought to be well-organized.

Creating an educated guess or estimation about a future event or outcome using the knowledge and data at hand is the process of creating a prediction. Predicting what might happen in the future includes examining historical patterns and trends as well as the current environment.

Types of Prediction

• Interval Prediction: - A variety of potential outcomes are offered by this kind of prediction. Say, for instance, that there is a 90% likelihood that a hurricane would make landfall during the next week somewhere in a specific area.
• Categorical Prediction: - This kind of prediction entails estimating the likelihood that an event will fall into a particular category. For instance, estimating the risk that someone will contract a specific ailment or that a particular sports team would triumph in a match.
• Long-Term Prediction: - Predicting events or patterns that are anticipated to last for a longer length of time, such as population expansion or climate change, falls under this category of prediction.
• Short-Term Prediction: - Predictions regarding events or trends that are anticipated to occur over a shorter time frame, such as the weather or the performance of the stock market the following day, fall under this category.
• Qualitative Prediction: - This kind of forecasting entails forming expert opinions or subjective assessments based on non-quantifiable data, such as forecasting the social effects of new technology.
• Quantitative Prediction: - Predicting future occurrences or trends using mathematical models and statistical techniques, such as gauging consumer demand for a new product, is an example of this form of prediction.

Application of Prediction

There are many uses for predictive models and approaches in a variety of fields, some of which include:

• Business and finance: Predicting stock prices and other financial market performance as well as sales, consumer behavior, and market trends to help with planning and decision-making for businesses.
• Predicting disease diagnosis, treatment results, and drug efficacy in the healthcare industry to guide patient care and medical research.
• Forecasting weather patterns and conditions to guide agricultural, transportation, and emergency response plans.
• Planning routes and developing transportation infrastructure using traffic patterns and congestion predictions.
• Sports: Making predictions about the results of sporting events to help with game strategy and sports betting.

Advantages of Prediction

• Better decision-making: Predictions offer insightful information about potential outcomes, assisting decision-makers in reaching more sensible and sensible conclusions.
• Risk management: By estimating the possibility and potential impact of future events, predictions can assist in identifying and managing risks.
• Resource allocation and optimization can be informed by predictions, which enables companies and organizations to use their resources more effectively.
• Savings on costs: By identifying potential areas for improvement, predictions can assist in finding possibilities to lower costs and boost efficiency.
• Competitive advantage: By allowing firms and organizations to foresee market trends and react swiftly to changes, predictions can give them a competitive advantage.

Disadvantages of Prediction

• Predictions are inherently uncertain because they are based on hypotheses and information that isn't always reliable or full. This can cause the prediction to be inaccurate and inaccurate.
• Relying too heavily on projections: Relying too heavily on predictions can result in complacency, a failure to take into account other crucial aspects, or a failure to adjust to changing conditions.
• Ethics: When predictions deal with touchy subjects like healthcare or criminal justice, they may give rise to ethical questions. For instance, it would be considered unjust or discriminatory to use forecasts when deciding on medical care or criminal sentencing.
• Limited data availability: Predictions can only be as accurate as the data that can back them up. It may not always be possible to obtain complete or enough data, which might make it challenging to create precise forecasts.
• Bias: If the data used to make the predictions is skewed or if the algorithms used to make them have biases built into them, the predictions may be biased.
• Unexpected developments: Predictions may fail to take into consideration unanticipated developments that could affect the predicted outcome. A natural disaster or other unforeseen event, for instance, could drastically change the result being projected.
• Main Differences Between Hypothesis and Prediction in Points

On the following criteria, it is easy to distinguish between a hypothesis and a prediction:

• The term "hypothesis" refers to a proposed explanation for an observed phenomenon that is supported by existing facts and serves as the basis for further investigation. A prediction is a remark that foretells or hypothesizes an event that will take place in the future.
• The hypothesis is merely a speculative assertion that can be verified using evidence from science. Instead, a prediction is a kind of prior proclamation of what is anticipated to occur next in the progression of events.
• The prediction is a crazy guess, but the theory is a well-informed guess.
• Facts and evidence are always used to support a hypothesis. Contrarily, forecasts are based on the maker's knowledge and experience, though not necessarily.
• Predictions lack an explanation, whereas hypotheses are always supported by a justification.
• It takes a while to formulate a hypothesis. On the other hand, forecasting a future event doesn't require much time.
• A phenomenon, which could be a present or historical event, is defined by a hypothesis. Unlike prediction, which always assumes that a specific event will occur or not in the future.
• The relationship between the independent and dependent variables is stated in the hypothesis. Prediction, on the other hand, makes no assumptions about the relationships between variables.

In conclusion, a forecast is only a supposition about what will happen in the future, but a hypothesis is a suggestion made for an explanation. The former can be made by anyone, regardless of their level of expertise in the relevant discipline. On the other hand, the researcher's hypothesis is created to ascertain the response to a certain query. To become a theory, the hypothesis must also satisfy several tests.

Table of Contents

Cite this article.

Use the citation below to add this article to your bibliography:

MLA Style Citation

"Difference Between Hypothesis and Prediction." Diffzy.com , 2024. Fri. 12 Apr. 2024. < https://www.diffzy.com/article/difference-between-hypothesis-and-prediction >.

Chicago Style Citation

Diffzy.com , 2024. "Difference Between Hypothesis and Prediction." Accessed April 12, 2024. https://www.diffzy.com/article/difference-between-hypothesis-and-prediction .

APA Style Citation

Difference Between Hypothesis and Prediction. (n.d.). diffzy.com , Retrieved April 12, 2024, from https://www.diffzy.com/article/difference-between-hypothesis-and-prediction .

Edited by Diffzy

Share this article

Understanding the Difference Between Hypothesis and Prediction in Scientific Research

When it comes to scientific research, two terms that often come up are hypothesis and prediction. While they may seem similar at first glance, they actually have distinct meanings and purposes. In this article, I’ll break down the key differences between hypothesis and prediction, and why understanding these differences is crucial for any researcher or scientist.

A hypothesis is a proposed explanation or statement that can be tested through experimentation or observation. It is based on prior knowledge, observations, and existing theories. Essentially, a hypothesis is an educated guess that seeks to explain a phenomenon or answer a research question. On the other hand, a prediction is a specific statement about what is expected to happen in a particular situation or experiment. It is often based on the hypothesis and serves as a way to test its validity. While a hypothesis is broader and more general, a prediction is more specific and focused.

Understanding the difference between hypothesis and prediction is essential for conducting rigorous scientific research. By formulating a hypothesis, researchers can propose potential explanations for phenomena, while predictions allow them to test and validate these hypotheses. So, let’s dive deeper into the nuances of hypothesis and prediction and explore how they work together to advance scientific knowledge.

Post Contents

• 1 Key Takeaways
• 2 What is a Hypothesis?
• 3 Characteristics of a Hypothesis
• 4.1 1. Guides the Research Process
• 4.2 2. Tests and Validates Knowledge
• 4.3 3. Provides a Framework for Analysis
• 4.4 4. Fosters Objective Inquiry
• 5.0.1 Key Characteristics of a Prediction:
• 5.0.2 Role of Predictions in Scientific Research:
• 6 Relationship Between Hypothesis and Prediction
• 7.0.1 1. Conceptual Framework:
• 7.0.2 2. Purpose:
• 7.0.3 3. Role in Scientific Inquiry:
• 7.0.4 4. Relationship:
• 8 Significance of Understanding the Differences
• 9 Conclusion
• 10.1 What is a hypothesis in scientific research?
• 10.2 What is a prediction in scientific research?
• 10.3 How do hypotheses and predictions differ?
• 10.4 Why is it important to understand the differences between hypotheses and predictions?
• 10.5 How do hypotheses and predictions contribute to scientific knowledge?
• 10.6 What is the relationship between hypotheses and predictions?

Key Takeaways

• A hypothesis is a proposed explanation or statement that can be tested through experimentation or observation, while a prediction is a specific statement about what is expected to happen in a particular situation or experiment.
• A hypothesis should be testable, falsifiable, clear and specific, supported by existing knowledge, and provide a logical explanation.
• Hypotheses play a crucial role in scientific research by guiding the research process, testing and validating knowledge, providing a framework for analysis, and fostering objective inquiry.
• Predictions are derived from existing knowledge, specific and testable, logical and reasonable, and subject to revision.
• Predictions guide the research process, test the validity of a hypothesis, provide a framework for analysis, and promote objective inquiry.
• Hypotheses and predictions are closely interdependent, with predictions being built upon well-formed hypotheses and used to test their validity.
• Understanding the differences between hypotheses and predictions is important for guiding the research process, evaluating the validity of hypotheses, refining and revising theories, and advancing knowledge and understanding in scientific fields.

What is a Hypothesis?

A hypothesis is a proposed explanation or statement that can be tested through experimentation or observation. It is an integral part of the scientific method and plays a crucial role in the process of scientific research. When conducting experiments or studying phenomena, scientists often formulate hypotheses to provide a potential explanation for the observed observations or data.

A hypothesis is more than just a guess; it is an educated and testable prediction based on existing knowledge and available evidence. It serves as the foundation for scientific investigations, guiding researchers to design experiments and collect data to either support or refute the hypothesis.

In order to be considered a valid hypothesis, it must be:

• Testable : A hypothesis must be able to be tested through experimentation or observation. This allows researchers to gather evidence and draw conclusions based on the results of these tests.
• Falsifiable : A hypothesis must have the potential to be proven wrong. If a hypothesis cannot be proven false, it falls outside the realm of scientific inquiry.
• Clear and specific : A hypothesis should be clear and specific, stating the relationship between variables and making precise predictions. This helps scientists design experiments and collect data in a controlled and systematic manner.

Hypotheses are not limited to any particular field of study and can be formulated in various ways depending on the research question being investigated. They can be used to explain a broad range of phenomena, from physical properties of matter to behavioral patterns in humans or animals.

By proposing hypotheses, scientists can explore, investigate, and better understand the world around us. These hypotheses are then tested and scrutinized through rigorous scientific methods to build a body of knowledge that continues to expand our understanding of the natural world.

Characteristics of a Hypothesis

When formulating a hypothesis, there are certain characteristics that it should possess. These characteristics ensure that the hypothesis is valid and can be effectively tested. Here are a few key characteristics to keep in mind when crafting a hypothesis:

1. Testable : A hypothesis should be based on an observation or a question that can be tested through experimentation or observation. It should provide a clear and specific prediction about what is expected to occur.

2. Falsifiable : A hypothesis should be able to be proven false. In other words, there must be a way to test and potentially reject the hypothesis if it does not align with the observed data. This is essential in the scientific method as it allows for the refinement of theories and the advancement of knowledge.

3. Clear and specific : A good hypothesis should be well-defined and specific. It should outline the variables being investigated and clearly state the relationship between them. This clarity ensures that the hypothesis can be effectively tested and understood by others.

4. Supported by existing knowledge : A hypothesis should be based on existing scientific knowledge and evidence. It should be grounded in previous research and build upon the current understanding of the topic. This ensures that the hypothesis is plausible and contributes to the scientific body of knowledge.

5. Provides a logical explanation : A hypothesis should offer a logical explanation or prediction for the phenomenon being investigated. It should propose a cause-and-effect relationship that can be tested and supported by empirical evidence.

By incorporating these characteristics into the formulation of a hypothesis, scientists can ensure that their research is rigorous and meaningful. It allows for the systematic exploration and testing of ideas, leading to a deeper understanding of the natural world.

Importance of Hypothesis in Scientific Research

In scientific research, a hypothesis plays a crucial role in guiding the investigation and forming the basis for further analysis and experimentation. It serves as a starting point for scientists to explore and discover new information about the natural world. Here, I’ll discuss the key reasons why having a well-formulated hypothesis is essential in scientific research.

1. Guides the Research Process

A hypothesis provides a clear direction and focus to the research study, helping scientists determine the specific objectives they want to achieve. By formulating a hypothesis, researchers can identify the variables to be tested, design appropriate experiments, and gather relevant data. It serves as a roadmap, ensuring that the research stays on track and is conducted in a systematic manner.

2. Tests and Validates Knowledge

A hypothesis is built upon existing knowledge and aims to test and validate or refute it. It allows scientists to put forth a proposed explanation or statement that can be tested through empirical evidence. By conducting experiments and observations, researchers can gather data to support or reject the hypothesis, thereby expanding our understanding of the subject matter.

3. Provides a Framework for Analysis

Having a hypothesis in place provides a framework for analyzing the collected data. It helps scientists organize and interpret the results in a systematic and meaningful manner. Without a hypothesis, the data collected may lack direction and coherence, making it difficult to draw accurate conclusions or make informed decisions based on the findings.

4. Fosters Objective Inquiry

A hypothesis fosters objective inquiry in scientific research. By formulating a testable and falsifiable hypothesis, scientists endeavor to minimize bias and subjectivity. They approach the research with an open mind, applying critical thinking and rigorous methods to investigate the proposed hypothesis. This commitment to objectivity ensures that scientific findings are reliable and can be replicated by other researchers.

The importance of a well-formulated hypothesis cannot be overstated in scientific research. It guides the research process, tests and validates existing knowledge, provides a framework for analysis, and fosters objective inquiry. By incorporating these elements into their work, scientists can maximize the rigor and impact of their research, contributing to the advancement of knowledge in their respective fields.

What is a Prediction?

In scientific research, a prediction is a statement or claim about the expected outcome of an experiment or observation. It is essentially an educated guess about what will happen based on existing knowledge, theories, and evidence. Predictions play a significant role in the scientific method as they help guide the testing of hypotheses and provide a framework for conducting experiments.

Key Characteristics of a Prediction:

• Based on Existing Knowledge: A prediction is derived from prior knowledge and information gathered through research or observation. It takes into account relevant theories, established principles, and empirical evidence.
• Specific and Testable: A prediction should be clear and specific, making it possible to determine whether it is accurate or not through experimentation or observation. It needs to be formulated in a way that allows for direct testing and evaluation.
• Logical and Reasonable: A prediction should be logical and reasonable, following established scientific principles and theories. It should be consistent with the available evidence and the known facts.
• Subject to Revision: Predictions are not set in stone. As new information and data emerge, predictions can be revised or refined to reflect a deeper understanding of the phenomenon under study.

Role of Predictions in Scientific Research:

Predictions serve several crucial purposes in scientific research:

• Guiding the Research Process: Predictions provide a roadmap for scientists to design experiments, choose variables to measure, and determine the appropriate methods for data collection. They help researchers focus their efforts and ensure that the study is relevant and meaningful.
• Testing Hypotheses: Predictions are closely tied to hypotheses, which are testable explanations or statements about a specific phenomenon. By making predictions, researchers can determine if their hypotheses are supported or refuted by the data, helping to advance scientific understanding.
• Providing a Framework for Analysis: Predictions serve as a basis for interpreting and analyzing experimental results. By comparing the actual outcomes with the predicted ones, scientists can draw conclusions and make inferences about the underlying mechanisms at play.
• Promoting Objective Inquiry: Predictions encourage objective inquiry by establishing a standard against which results can be evaluated. They help mitigate biases and ensure that scientific investigations are conducted in a transparent and unbiased manner.

Relationship Between Hypothesis and Prediction

In scientific research, the relationship between a hypothesis and a prediction is crucial. A hypothesis is a proposed explanation or a tentative answer to a scientific question. It’s a starting point for scientific investigation and helps researchers formulate their research objectives.

On the other hand, a prediction is a statement or claim about the expected outcome of an experiment or observation, based on existing knowledge, theories, and evidence. It’s a logical extension of the hypothesis and serves as a guide to test the validity of the hypothesis.

• Interdependence: A prediction is built upon a well-formed hypothesis. The hypothesis provides the basis for formulating a prediction that can be tested through experiments or observations.
• Testing the Hypothesis: Predictions are used to test the validity of a hypothesis. By making predictions, scientists create specific expectations about how the world should behave if their hypothesis is correct. This allows them to design experiments or gather data to support or reject the hypothesis.
• Refinement and Revision: Predictions play a significant role in refining and revising hypotheses. If the prediction matches the observed outcome, it provides support for the hypothesis. However, if the prediction does not align with the observed results, scientists may need to revise or refine their hypothesis to better explain the phenomenon under investigation.
• Guiding the Research Process: Predictions guide the research process by setting clear objectives and providing a framework for data collection and analysis. They help researchers stay focused and ensure that their investigations are structured and systematic.
• Promoting Objective Inquiry: Incorporating well-formulated predictions into the research process promotes objective inquiry. Predictions require scientists to approach their research with an open mind and evaluate the evidence objectively, leading to unbiased conclusions.

The interplay between hypotheses and predictions is a fundamental aspect of scientific research. By formulating well-defined predictions based on their hypotheses, scientists can confidently test and refine their understanding of the natural world, contributing to the advancement of knowledge in their respective fields.

Differences Between Hypothesis and Prediction

When it comes to scientific research, hypotheses and predictions play distinct but interconnected roles. Let’s dive into the differences between these two important concepts.

1. Conceptual Framework:

A hypothesis is a proposed explanation or tentative answer to a scientific question. It is based on existing knowledge, theories, and evidence. A prediction, on the other hand, is a statement about the expected outcome of an experiment or observation, derived from the hypothesis.

2. Purpose:

The primary purpose of a hypothesis is to guide the research process and set clear objectives. It provides a framework for data collection and analysis. A prediction, on the other hand, serves as a way to test the validity of the hypothesis. It allows scientists to anticipate the results they would expect to see if the hypothesis is correct.

3. Role in Scientific Inquiry:

Hypotheses are crucial in refining and revising theories and advancing knowledge in scientific fields. They serve as starting points for investigation and provide a direction for researchers to explore. By contrast, predictions promote objective inquiry. By requiring scientists to approach their research with an open mind and evaluate evidence objectively, predictions help avoid confirmation bias and ensure the scientific process remains unbiased.

4. Relationship:

Hypotheses and predictions are closely intertwined. Predictions are built upon a well-formed hypothesis and are used to test its validity. They serve as a bridge between the theoretical framework provided by the hypothesis and the empirical evidence collected through experimentation or observation. The interplay between hypotheses and predictions allows scientists to evaluate and refine their hypotheses based on the evidence gathered.

Hypotheses and predictions are distinct yet interconnected concepts in scientific research. While hypotheses lay the foundation for scientific inquiry, predictions serve as tools to test the validity of those hypotheses. Both are essential in advancing knowledge and understanding in the scientific community.

Significance of Understanding the Differences

Understanding the differences between hypotheses and predictions is crucial in scientific research. As a scientist, it’s important to grasp the unique roles that these two concepts play in the research process. Here, I will highlight the significance of understanding the differences between hypotheses and predictions:

• Guiding the research process : Hypotheses serve as a compass, guiding the entire research journey. They are the starting point, providing a proposed explanation or tentative answer to a scientific question. By formulating a hypothesis, scientists can set clear objectives and design experiments or observations to test its validity. Without a hypothesis, research would lack direction and purpose.
• Evaluating the validity of hypotheses : Predictions are statements about the expected outcome of an experiment or observation based on the hypothesis. They serve as a way to test the validity of the hypothesis. By making predictions, scientists can set measurable criteria to determine whether the hypothesis is supported or not. This process helps to ensure that scientific research is rigorous and objective.
• Refining and revising theories : Hypotheses are not static entities; they are subject to refinement and revision based on empirical evidence. Predictions play a vital role in this process by providing feedback on the validity of the hypothesis. If predictions are consistently supported by evidence, the hypothesis gains credibility, leading to further refinement and even the potential development of a scientific theory.
• Advancing knowledge and understanding : The interconnected nature of hypotheses and predictions drives the advancement of knowledge and understanding in scientific fields. Through the iterative process of hypothesis formulation, prediction, experimentation, and analysis, scientists contribute to the collective body of scientific knowledge. This iterative process allows for the continuous refinement and revision of theories, leading to a deeper understanding of the natural world.

By understanding and appreciating the differences between hypotheses and predictions, scientists can approach their research with clarity and purpose. This understanding promotes objective inquiry, encourages scientists to approach their work with an open mind, and allows for the evaluation of evidence in a neutral and unbiased manner. Ultimately, it is through this dynamic interplay between hypotheses and predictions that scientific research continues to push the boundaries of knowledge and understanding.

Understanding the difference between hypotheses and predictions is crucial in scientific research. Hypotheses provide a proposed explanation or answer to a scientific question, while predictions state the expected outcome of an experiment or observation based on the hypothesis. By grasping these distinctions, scientists can approach their research with clarity and purpose.

Hypotheses serve as guides, setting clear objectives for the research process. They help researchers formulate questions and design experiments to test their proposed explanations. On the other hand, predictions evaluate the validity of hypotheses by providing a means to assess whether the expected outcomes align with the observed results.

Additionally, predictions play a vital role in refining and revising theories. When predictions do not align with the observed results, scientists can modify their hypotheses and theories to better explain the phenomenon under investigation.

The interconnected nature of hypotheses and predictions drives scientific progress. By utilizing hypotheses to guide research and predictions to evaluate their validity, scientists can advance knowledge and understanding in their respective fields.

Understanding the distinctions between hypotheses and predictions empowers scientists to engage in objective inquiry and evaluate evidence in a neutral and unbiased manner. This dynamic interplay between hypotheses and predictions propels scientific research, pushing the boundaries of knowledge and fostering a deeper understanding of the world around us.

Frequently Asked Questions

What is a hypothesis in scientific research.

A hypothesis is a proposed explanation or tentative answer to a scientific question. It helps guide the research process and set clear objectives.

What is a prediction in scientific research?

A prediction is a statement about the expected outcome of an experiment or observation based on the hypothesis. It serves as a way to test the validity of the hypothesis.

How do hypotheses and predictions differ?

Hypotheses guide the research process and set objectives, while predictions evaluate the validity of hypotheses.

Why is it important to understand the differences between hypotheses and predictions?

Understanding these differences helps scientists approach their research with clarity and purpose, promoting objective inquiry and the evaluation of evidence.

How do hypotheses and predictions contribute to scientific knowledge?

Hypotheses guide the research process and predictions help refine and revise theories, advancing knowledge and understanding in scientific fields.

What is the relationship between hypotheses and predictions?

Hypotheses and predictions are interconnected. Hypotheses guide the research process, and predictions test the validity of hypotheses, driving scientific research.

Core Differences

We Provide Comparison for All Terms

10 Difference between Hypothesis and Prediction with Comparison Table

What is the difference between hypothesis and prediction?

Hypothesis and predictions are terms commonly used in science, research, and logic. They are typically used to formulate new theories that tend to affect human civilization in the future. Besides that, they help to draw a conclusion about certain circumstances.

The lesson provides the difference between hypothesis and prediction with a comparison chart. You will also get to know the similarities between hypothesis and prediction.

What Is Hypothesis?

The hypothesis is a proposed explanation for an observable event-based on established facts that trigger further investigation.

The term is commonly used in the field of science and research. It later results in two types of hypotheses as scientific and research hypotheses.

The scientific hypothesis can be tested by scientific methods. The research hypothesis is based on independent and dependent variables.

The research hypothesis serves as a conceptual framework in qualitative research. It helps to formulate a new theory that triggers further investigation about the phenomenon.

What Is Prediction?

Prediction is a statement that forecasts the happening of something in the future. It is more of a guess but based on the existing evidence or observations.

However, making conclusions about the future occurrence of a phenomenon can be difficult. Prediction help to prevent occurrences of negative consequences in the future.

A strong hypothesis help to provide predictions. This is the reason behind their strong relationship in the field of science, logic, and research.

Comparison Chart: Hypothesis Vs Prediction

Core differences between hypothesis and prediction.

• The hypothesis can be tested while predictions cannot be tested.
• Hypothesis start from the beginning of the occurrence while predictions go forth to the future
• The hypothesis is directly related to statistics while prediction brings forth probabilities
• Hypothesis provides answers to a phenomenon while prediction provide assumptions for the future
• Hypothesis provides an explanation of why something happens while prediction provides an explanation to what might happen in the future
• Formulation of a hypothesis takes a long time while prediction takes a comparatively short time
• The hypothesis has a casual relationship between variables while prediction does not have any relationship
• The hypothesis is based on facts and evidence while prediction based on forecast
• The hypothesis is an educated guess while prediction is a pure guess
• The hypothesis is structured longer than predictions

Similarities between Hypothesis and Prediction

• Quite common terms in science and research
• Provide information about a phenomenon
• Quite important on present and future occurrences

Comparison Video

Summary of Hypothesis Vs Prediction

The core difference between hypothesis and prediction is that hypothesis provides an explanation to something that has already happened while prediction provides information to something that will happen in future.

Leave a Comment Cancel reply

Save my name, email, and website in this browser for the next time I comment.

Difference Between Hypothesis and Prediction

A hypothesis is a proposed explanation for a phenomenon or set of observations. It is a statement that can be tested through experimentation or further observation. A prediction, on the other hand, is a statement about what will happen in the future based on current knowledge and understanding.

Table of Contents

Comparison Chart

It is important to note that a hypothesis can be used to make predictions, but not all predictions are hypotheses. A prediction can be based on a hypothesis, but it can also be based on other information and understanding.

What is Hypothesis?

A hypothesis is a proposed explanation for a phenomenon or set of observations. It is a statement or assumption about a certain relationship between variables that can be tested through experimentation or further observation. Hypothesis often used in scientific research and it can be proven false or supported by data. It is an initial idea that needs to be tested and verified before it can be accepted as a theory. It can also be used to make predictions but it is not necessary that all predictions are hypotheses.

What is Prediction?

A prediction is a statement about what will happen in the future based on current knowledge and understanding. Predictions can be made in various fields such as weather forecasting, financial forecasting, sports forecasting, and so on. These predictions are based on historical data, statistical models, and other forms of analysis. Predictions can be uncertain and may or may not come true and it’s not necessary that predictions are always based on hypotheses. Predictions are often used in forecasting and risk assessment as they help to make informed decisions.

Main Key Difference Between Hypothesis and Prediction

Here are the main key differences between a hypothesis and a prediction:

• A hypothesis can be used to make predictions, but not all predictions are hypotheses.
• Hypothesis is an initial idea that needs to be tested and verified before it can be accepted as a theory, while predictions are made based on historical data, statistical models, and other forms of analysis.
• A hypothesis is a statement that can be tested for its validity and reliability, while a prediction is a statement about future events that cannot be tested in the same way.
• A hypothesis can be used to generate new research questions and guide further experimentation, while a prediction is often used to inform decision-making and planning.
• The process of developing a hypothesis involves formulating a testable statement, gathering evidence and data, and analyzing the results. Predictions, on the other hand, can be made using various methods such as statistical models, machine learning algorithms, and expert judgement.
• A hypothesis is a statement that can be disproved, while a prediction is a statement that can only be validated or invalidated by the outcome.
• A hypothesis is a statement about a causal relationship between variables, while a prediction is a statement about the outcome of an event.
• A hypothesis can be refined or modified based on new evidence and data, while a prediction is a statement about a specific event or outcome that cannot be changed.

In conclusion, a hypothesis and a prediction are two distinct but related concepts that play important roles in scientific research and decision-making. A hypothesis is a proposed explanation for a phenomenon or set of observations that can be tested through experimentation or further observation. It is a statement that can be proven false or supported by data and often used in scientific research to explain the relationship between variables. A prediction, on the other hand, is a statement about what will happen in the future based on current knowledge and understanding. Predictions are often used in forecasting and risk assessment to inform decision-making and planning. While both concepts are used to generate new knowledge and understanding, they are used in different ways and have different implications.

Sajius Islam is a creative writer who enjoys Blog & Content Writing. He received his Bachelor of Science (B.Sc) degree from Guwahati University, Guwahati. He loves spending time with her family and friends, traveling, and exploring new cultures.

Related Posts

Difference between acute and chronic leukemia, difference between mammals and reptiles, difference between xanax and prozac, difference between maize and jowar, leave a comment cancel reply.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Skip to primary navigation
• Skip to main content
• Skip to primary sidebar
• Skip to footer

Stay Informed Group

Stay informed with opportunities online

Hypothesis vs Prediction: Differences and Comparison

September 8, 2023 by Chukwuemeka Gabriel Leave a Comment

A hypothesis is a tentative conjecture that explains an observation, phenomenon or scientific problem that can be tested through observation, investigation or scientific experimentation.

A prediction is a statement of what will happen in the future. Based on the continuous recent outcome of an event, one can make a prediction on what will happen next.

A prediction is basically a forecast. It’s a statement of what will happen in the future based on collected data, evidence, or previous knowledge.

A hypothesis is an assumption considered to be true for the purpose of argument or investigation.

In the academic world, hypotheses and predictions are important elements of the scientific process. However, there are key differences between a hypothesis vs prediction and we will be looking at those differences in this article.

What Is a Hypothesis?

A hypothesis is a tentative conjecture that explains a phenomenon, observation, or scientific problem that can be tested through scientific experimentation, observation or investigation.

It’s an assumption considered to be true for the purpose of argument or investigation. It’s a statement that gives an answer to a proposed question by using actual facts and research.

Researchers form hypotheses for the purpose of explaining a certain phenomenon. To prove their point, they make their hypotheses before starting their scientific experiments.

A hypothesis is an assumption that can be approved or disapproved. It’s considered a predictive statement for research and can be tested using scientific methods.

Also Read: Diploma vs Degree: Differences and Comparison

What Is a Prediction?

A prediction is a statement that describes what will happen in the future. Based on the continuous recent outcome of an event, one can make a prediction on what will happen next.

It’s a statement of what will happen in the future based on collected data, evidence, or previous knowledge.

Predictions can be a guess based on the collective data or instinct. If you have noticed an occurrence regularly, you are likely to make correct predictions about that occurrence.

For instance, if a mailman comes to your house each day at exactly 3 p.m. for five days straight, you might predict the time the mailman will come to your house the next day.

Your prediction that the mailman will arrive at your house at exactly 3 p.m. is based on your previous observations.

A prediction is considered an informed guess if it comes out from a person with the subject knowledge. Using accurate data and logical reasoning based on close observation leads to a probable prediction.

Hypothesis vs Prediction: Differences between Hypothesis and Prediction

It’s an educated guess for a scientific problem or phenomenon, while a prediction is a statement of what will happen in the future. In science, hypotheses are based on recent knowledge and understanding.

It’s an assumption considered to be true for the purpose of argument or investigation.

Predictions describe future events or outcomes and it’s a statement of what will happen in the future based on collected data, evidence, or previous knowledge.

Also Read: Meter vs Yard: Difference and Comparison

Hypothesis vs Prediction: Comparison Chart

Hypothesis vs prediction: similarities between hypothesis and prediction.

Both hypothesis and prediction are statements defining the relationship between variables or the result of an event. A hypothesis and a prediction can be tested, verified and rejected or supported by evidence for the purpose of future research.

While predictions describe potential future events, hypotheses are statements describing potential cause-and-effect relationships.

Also Read: Genotype vs Phenotype: Differences and Comparison

Hypothesis vs Prediction: Tips on How to Write a Hypothesis

Here is how to write a hypothesis, with simple steps.

State your research question

Firstly, state your research questions orderly and clear. You should include an answer to the problem statement or research question in the hypothesis.

Next, create a topic-centric challenge once you have clearly understood the limitations of the study topic you selected. This will enable you to formulate a hypothesis and any other research you need to conduct for collecting data.

Conduct an inspection

Once you have successfully established your study, preliminary research should be carried out. Read through your previous hypothesis, any academic article, or data.

Make a three-dimensional theory

Every hypothesis often includes variables, so it’s important for you to create a correlation between your independent and dependent variables. You will do this by identifying both variables.

Write the first draft

Once you have everything set up, you can then compose your hypothesis.

Firstly, you start by writing the first draft and then write your research based on what you want it to be. Make sure that your independent and dependent variables vary, as well as the connection between them.

Hypothesis vs Prediction: Advantages of Hypothesis

Let’s explore a few advantages of using a hypothesis in scientific research.

• A hypothesis can be tested and verified through scientific experimentation, observation, or investigation. It can be verified or rejected.
• Hypothesis guides further research, as it suggests observations and scientific experiments that should be carried out.
• Hypothesis encourages critical thinking and helps to identify cause-and-effect relationships.

Disadvantages of Hypothesis

• Using a hypothesis can limit the scope. In reality, research findings may be limited by hypotheses.
• Also, research findings may not be generalized if hypotheses are strictly applicable to a specific population.

Also Read: Seminar vs Workshop: Difference and Comparison

Hypothesis vs Prediction: Advantages of Prediction

• Prediction can be used by both people and organizations to make future plans for specific events like weather or market trends.
• Predictions help in decision-making. It provides insight into the potential results of various actions.
• It helps in risk management. With predictions, stock market fluctuations or natural disasters can be foreseen.
• It can provide assistance in allocating resources like inventory, budget, and workforce.

Disadvantages of Predictions

• Predictions can be inaccurate and should not be totally relied on.
• It can be influenced by bias, which can lead to inaccurate predictions.

Both hypothesis and prediction are statements defining the relationship between variables or the result of an event.

Based on the continuous recent outcome of an event, one can make a prediction on what will happen next. A hypothesis is an educated guess for a scientific problem or phenomenon, while a prediction is a statement of what will happen in the future.

Recommendations

• Bussing vs Busing: Difference and Comparison
• Pint vs Quart: Difference and Comparison
• Superheroine vs Heroine: Difference and Comparison
• Chilly vs Cool: Difference and Comparison
• Family Medicine vs Internal Medicine: Difference and Comparison
• Indeed : Hypothesis vs. Prediction: What’s the Difference?
• Keydifferences : Difference Between Hypothesis and Prediction
• Diffzy : Difference Between Hypothesis and Prediction
• Testbooks : Difference Between Hypothesis and Prediction
• Askanydifference : Hypothesis vs Prediction: Difference and Comparison

About Chukwuemeka Gabriel

Gabriel Chukwuemeka is a graduate of Physics; he loves Geography and has in-depth knowledge of Astrophysics. Gabriel is an ardent writer who writes for Stay Informed Group and enjoys looking at the world map when he is not writing.

Reader Interactions

Leave a reply cancel reply.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

10 Best Medical Schools in Mexico in 2024

Student loan forgiveness: how to obtain a student loan forgiveness, what are the 14 punctuation marks for effective english writing, top rated universities in canada with the highest acceptance rate, reasons why is education important all you need to know, most important languages to learn for more opportunities, top tips for first-year students, 10 tips to choosing an online college, 100 positive affirmations for students, 5 universities in cambridge massachusetts ma, 25 cheapest universities in usa for international students, medical schools admission requirements: all you need to get admitted, 5 ai-based paraphrasing tools to improve your writing skills as a student, list of the cheapest universities in australia for international students, 20 top rated cheapest universities in germany for international students, 15 best schools for architecture in the world, what is postgraduate education types, eligibility & application process, how many semesters in a year at university all you need to know, negative effects of online games to students, 21 best medical schools in australia, how many nickels make a dollar all you need to know, highest paid military in the world in 2024 (top 10 countries), how to record a meeting on microsoft teams, 32 best work from home companies that are legit, 15 google meet ideas for teachers, 25 short term courses with high salary, career opportunities for bcom students, how to become a pilot with or without a degree, how to become a home inspector, is a master’s in information technology worth it, how to build a career in digital marketing, is an online associate degree in health science for you, how to become a video game designer, what is a business lawyer, how to capitalize job titles, project management methodologies: definition, types and examples, career development plan: how to create a career plan, what does a film producer do, how to become a medical writer, how to become a music producer without school, 20 high paying part time jobs, top 10 marketable careers in the world in 2024, motivation letter for job application example 2024.

Difference Between | Descriptive Analysis and Comparisons

Search form, difference between hypothesis and prediction.

Key Difference: A Hypothesis is an uncertain explanation regarding a phenomenon or event. It is widely used as a base for conducting tests and the results of the tests determine the acceptance or rejection of the hypothesis. On the other hand, prediction is generally associated with the non-scientific guess. It defines the outcome of future events based on observation, experience and even a hypothesis. Hypothesis can also be defined in terms of prediction as a type of prediction which can be tested.

Example of a hypothesis -

“I think that these leaves of the  plant became discolored due to lack of sunlight”

In this sentence, one can easily smell a sense of guess. However, this guess is a type of educated guess. Therefore, hypothesis is also known as an educated guess. This hypothesis can be tested by various scientific methods or further investigation.

Prediction is generally used in non-scientific world to define the outcome of future events. It is also referred to as forecast and in most of the cases it is not based on any experience or knowledge.

For example, if I will buy a lottery ticket, I will win today. Now, in this example, a prediction is made regarding the future. However, it cannot be tested before its actual occurrence. Therefore, it will be termed as a prediction.

Comparison between Hypothesis and Prediction:

Image Courtesy: seminolestate.edu, nature.com

Mon, 10/26/2015 - 18:52

Add new comment

Copyright © 2024, Difference Between | Descriptive Analysis and Comparisons

whatsadifference.com

Difference Between Hypothesis vs Prediction

Have you ever forecasted an event and it came to pass? If yes, could that be as a result of some innate qualities you are born with or something else? Maybe it is your gut feeling that helped you make the forecast correctly, or maybe it is something that you already knew before. Whatever it is that might have helped you, scholars have a way of classifying and explaining it in a distinct manner.

On that note, we will be taking a look at the difference between hypothesis and prediction, two terms that are often misinterpreted as a result of ignorance. They may have similar meanings, but they are not the same.

Definition of Hypothesis

Hypothesis is defined as an attempt to solve a problem by making a presumptuous declaration that is open to testing following the standards of the scientific method. To put it more lightly, this term is nothing but a sheer assumption with no proof to back it up and hopes that it can resolve a particular issue.

Since it is just an attempt, there is every possibility that it may not follow through with the testing. But if for any reason it does follow through, then it becomes verified and regarded as theory. These attempts are usually in the form of a question, an intelligent one that might have come from unique but extensive research.

Another way to answer the question of what is the difference between a hypothesis and a prediction is by taking note of their characteristics. Some of the characteristics of the former include the following.

• It should be a detailed and precise statement
• The basis of the statement should be on known facts
• It should be flexible and open to testing
• The point of view should be simple
• There should be some element of correlation between variables

Definition of Prediction

Prediction is defined as statements made based on prior knowledge that aims at forecasting a future event. With the hypothesis vs prediction definition, it is understandable how one may commonly misconstrue one for the other. But their definition also shows some disparities. For instance, the former is mostly founded on nothing while the latter is founded on some form of prior familiarity.

It is also crucial to note that some are built not on facts, but on the instincts or a person. This phenomenon is a part of our daily life as well as scientific processes. A good example is the regression analysis, a method applied in statistics for making conclusions on a certain matter.

In a realistic setting, people make great careers out of making informed conclusions about an organization. They are called futurists of predictors, and their job is to disclose possible threats, risks, events, or opportunities.

Main Differences Between Hypothesis vs Prediction

From the much we have explained so far, one can understand the meaning and difference between prediction and hypothesis. We have put up the comparison table below to help pinpoint the disparities putting the two terms side by side.

Difference Between Hypothesis and Prediction: Conclusion

This hypothesis vs prediction comparison summary has shown how these two, which are often misconstrued for the other, are in fact different from one another. The former is more informed and always made on the basis of established information. The latter, on the other hand, may or may not be informed and may not be based on verifiable information.

Also, the time it takes to arrive at these is not the same. The former takes some time to gather information while the latter does not necessarily take any time.

Related Posts

Ester vs Ether – Difference Between Ester and Ether

Enthalpy vs Entropy – Difference Between Enthalpy and Entropy

Solvent vs Solute – Difference Between Solvent and Solute

Amine vs Amide – Difference Between Amine and Amide

Thrombus vs Embolus – Difference Between Thrombus and Embolus

Difference Between Latitude vs Longitude

Privacy overview.