random hypothesis generator

Hypothesis Maker Online

The Hypothesis Maker offers a streamlined approach to generating clear and precise hypotheses. This tool assists in formulating well-structured assumptions for various academic and research projects, ensuring accuracy and clarity.

Are you looking for an effective hypothesis maker online? Worry no more; try our online tool for students and formulate your hypothesis within no time.

• 🔎 How to Use the Tool?
• ⚗️ What Is a Hypothesis in Science?

👍 What Does a Good Hypothesis Mean?

• 🧭 Steps to Making a Good Hypothesis

🔗 References

📄 hypothesis maker: how to use it.

Our hypothesis maker is a simple and efficient tool you can access online for free.

If you want to create a research hypothesis quickly, you should fill out the research details in the given fields on the hypothesis generator.

Below are the fields you should complete to generate your hypothesis:

• Who or what is your research based on? For instance, the subject can be research group 1.
• What does the subject (research group 1) do?
• What does the subject affect? - This shows the predicted outcome, which is the object.
• Who or what will be compared with research group 1? (research group 2).

Once you fill the in the fields, you can click the ‘Make a hypothesis’ tab and get your results.

⚗️ What Is a Hypothesis in the Scientific Method?

A hypothesis is a statement describing an expectation or prediction of your research through observation.

It is similar to academic speculation and reasoning that discloses the outcome of your scientific test . An effective hypothesis, therefore, should be crafted carefully and with precision.

A good hypothesis should have dependent and independent variables . These variables are the elements you will test in your research method – it can be a concept, an event, or an object as long as it is observable.

You can observe the dependent variables while the independent variables keep changing during the experiment.

In a nutshell, a hypothesis directs and organizes the research methods you will use, forming a large section of research paper writing.

Hypothesis vs. Theory

A hypothesis is a realistic expectation that researchers make before any investigation. It is formulated and tested to prove whether the statement is true. A theory, on the other hand, is a factual principle supported by evidence. Thus, a theory is more fact-backed compared to a hypothesis.

Another difference is that a hypothesis is presented as a single statement , while a theory can be an assortment of things . Hypotheses are based on future possibilities toward a specific projection, but the results are uncertain. Theories are verified with undisputable results because of proper substantiation.

When it comes to data, a hypothesis relies on limited information , while a theory is established on an extensive data set tested on various conditions.

You should observe the stated assumption to prove its accuracy.

Since hypotheses have observable variables, their outcome is usually based on a specific occurrence. Conversely, theories are grounded on a general principle involving multiple experiments and research tests.

This general principle can apply to many specific cases.

The primary purpose of formulating a hypothesis is to present a tentative prediction for researchers to explore further through tests and observations. Theories, in their turn, aim to explain plausible occurrences in the form of a scientific study.

It would help to rely on several criteria to establish a good hypothesis. Below are the parameters you should use to analyze the quality of your hypothesis.

🧭 6 Steps to Making a Good Hypothesis

Writing a hypothesis becomes way simpler if you follow a tried-and-tested algorithm. Let’s explore how you can formulate a good hypothesis in a few steps:

Step #1: Ask Questions

The first step in hypothesis creation is asking real questions about the surrounding reality.

Why do things happen as they do? What are the causes of some occurrences?

Your curiosity will trigger great questions that you can use to formulate a stellar hypothesis. So, ensure you pick a research topic of interest to scrutinize the world’s phenomena, processes, and events.

Step #2: Do Initial Research

Carry out preliminary research and gather essential background information about your topic of choice.

The extent of the information you collect will depend on what you want to prove.

Your initial research can be complete with a few academic books or a simple Internet search for quick answers with relevant statistics.

Still, keep in mind that in this phase, it is too early to prove or disapprove of your hypothesis.

Step #3: Identify Your Variables

Now that you have a basic understanding of the topic, choose the dependent and independent variables.

Take note that independent variables are the ones you can’t control, so understand the limitations of your test before settling on a final hypothesis.

Step #4: Formulate Your Hypothesis

You can write your hypothesis as an ‘if – then’ expression . Presenting any hypothesis in this format is reliable since it describes the cause-and-effect you want to test.

For instance: If I study every day, then I will get good grades.

Step #5: Gather Relevant Data

Once you have identified your variables and formulated the hypothesis, you can start the experiment. Remember, the conclusion you make will be a proof or rebuttal of your initial assumption.

So, gather relevant information, whether for a simple or statistical hypothesis, because you need to back your statement.

Step #6: Record Your Findings

Finally, write down your conclusions in a research paper .

Outline in detail whether the test has proved or disproved your hypothesis.

Edit and proofread your work, using a plagiarism checker to ensure the authenticity of your text.

We hope that the above tips will be useful for you. Note that if you need to conduct business analysis, you can use the free templates we’ve prepared: SWOT , PESTLE , VRIO , SOAR , and Porter’s 5 Forces .

❓ Hypothesis Formulator FAQ

Updated: Jul 19th, 2024

• How to Write a Hypothesis in 6 Steps - Grammarly
• Forming a Good Hypothesis for Scientific Research
• The Hypothesis in Science Writing
• Scientific Method: Step 3: HYPOTHESIS - Subject Guides
• Hypothesis Template & Examples - Video & Lesson Transcript

IvyPanda uses cookies and similar technologies to enhance your experience, enabling functionalities such as:

• Basic site functions
• Ensuring secure, safe transactions
• Secure account login
• Remembering account, browser, and regional preferences
• Remembering privacy and security settings
• Analyzing site traffic and usage
• Personalized search, content, and recommendations
• Displaying relevant, targeted ads on and off IvyPanda

Please refer to IvyPanda's Cookies Policy and Privacy Policy for detailed information.

Certain technologies we use are essential for critical functions such as security and site integrity, account authentication, security and privacy preferences, internal site usage and maintenance data, and ensuring the site operates correctly for browsing and transactions.

Cookies and similar technologies are used to enhance your experience by:

• Remembering general and regional preferences
• Personalizing content, search, recommendations, and offers

Some functions, such as personalized recommendations, account preferences, or localization, may not work correctly without these technologies. For more details, please refer to IvyPanda's Cookies Policy .

To enable personalized advertising (such as interest-based ads), we may share your data with our marketing and advertising partners using cookies and other technologies. These partners may have their own information collected about you. Turning off the personalized advertising setting won't stop you from seeing IvyPanda ads, but it may make the ads you see less relevant or more repetitive.

Personalized advertising may be considered a "sale" or "sharing" of the information under California and other state privacy laws, and you may have the right to opt out. Turning off personalized advertising allows you to exercise your right to opt out. Learn more in IvyPanda's Cookies Policy and Privacy Policy .

• Pricing Blog
• Sign Up Log In

AI Hypothesis Generator

Hypothesis Generator to help you come up with a boilerplate hypothesis for your test ideas. Generate well-structured hypothesis in under 10 seconds!

1. Give us a brief about your hypothesis...

A/B Test Any Website. Easily.

Mida.so is an easy-to-use A/B testing platform that helps you run unlimited experiments with a visual editor or code editor. Start optimizing your website’s performance with fast, no-code testing today.

Hypotheses in A/B Testing

Hypotheses form an integral part of A/B Testing. They provide a clear path and expected outcome for the test, based on the initial conditions, such as the user interface and user experience, among others. A well-defined hypothesis is the foundation of any successful A/B test, guiding the direction of the test and serving as a benchmark against which the test’s results are evaluated.

What are the benefits?

The Automated Hypothesis Creator simplifies the first step in the A/B testing process and provides several benefits:

• Quick and efficient hypothesis generation.
• Saves time and resources which can often be invested in analysing the output of the A/B test.
• Provides insightful and scientifically-backed predictions.
• Outlines a clear picture for the A/B test, thus leading to more accurate outcomes.

How to Use it with A/B Testing?

To use the Automated Hypothesis Creator with A/B testing, follow these simple steps:

• Begin by clearly formulating your query.
• Use the text area in the tool to provide the necessary input data.
• Click the “Create Hypothesis” button.
• Wait for a while for the tool to process your request and generate a hypothesis.
• Once the hypothesis is created, use it as a basis for your A/B test.

Try other free tools:

• A/B Test Headline Generator
• Sample Size Calculator
• A/B Test Duration Calculator
• Statistical Significance Calculator

A/B testing platform for people who care about   website performance

Mida is 10X faster than everything you have ever considered. Try it yourself.

Mida.so is a super lightweight A/B testing tool to help you experiment, analyze and implement conversion strategies in minutes.

Hypothesis Maker

The best free AI hypothesis maker to master the art of hypothesis creation with ease. Generate high-quality and accurate hypotheses in minutes.

• Authoritative
• Conservative
• Conversational
• Enthusiastic
• Informative
• Inspirational
• Journalistic
• Matteroffact
• Professional
• Provocative
• Sympathetic
• Trustworthy
• Unapologetic
• Authoritative Pro
• Cheerful Pro
• Conservative Pro
• Conversational Pro
• Convincing Pro
• Creative Pro
• Enthusiastic Pro
• Expository Pro
• Friendly Pro
• Humorous Pro
• Informative Pro
• Inspirational Pro
• Irreverent Pro
• Journalistic Pro
• Matteroffact Pro
• Nostalgic Pro
• Objective Pro
• Passionate Pro
• Playful Pro
• Professional Pro
• Provocative Pro
• Respectful Pro
• Romantic Pro
• Sarcastic Pro
• Serious Pro
• Subjective Pro
• Sympathetic Pro
• Thoughtful Pro
• Trustworthy Pro
• Unapologetic Pro
• Worried Pro
• English (US)
• German (Germany)
• Italian (Italy)
• Japanese (Japan)
• Russian (Russia)
• Portuguese (Portugal)
• Hindi (India)
• Urdu (Pakistan)
• Arabic (Saudi Arabia)
• French (France)
• English (UK)
• English (Australia)
• English (Canada)
• English (India)
• English (Singapore)
• English (New Zealand)
• English (South Africa)
• Spanish (Spain)
• Spanish (Mexico)
• Spanish (United States)
• Arabic (Egypt)
• Arabic (United Arab Emirates)
• Arabic (Kuwait)
• Arabic (Bahrain)
• Arabic (Qatar)
• Arabic (Oman)
• Arabic (Jordan)
• Arabic (Lebanon)
• Danish (Denmark)
• German (Switzerland)
• German (Austria)
• French (Canada)
• French (Switzerland)
• French (Belgium)
• Italian (Switzerland)
• Dutch (Netherlands)
• Dutch (Belgium)
• Portuguese (Brazil)
• Chinese (China)
• Chinese (Taiwan)
• Chinese (Hong Kong)
• Chinese (Singapore)
• Korean (South Korea)
• Finnish (Finland)
• Greek (Greece)
• Czech (Czech Republic)
• Swedish (Sweden)
• Norwegian (Norway)
• Turkish (Turkey)
• Polish (Poland)
• Romanian (Romania)
• Hungarian (Hungary)
• Thai (Thailand)
• Hebrew (Israel)
• Indonesian (Indonesia)
• Vietnamese (Vietnam)
• Malay (Malaysia)
• Tagalog (Philippines)
• Swahili (Kenya)
• Swahili (Tanzania)
• Zulu (South Africa)
• Xhosa (South Africa)
• Amharic (Ethiopia)
• Tamil (India)
• Tamil (Sri Lanka)
• Bengali (Bangladesh)
• Bengali (India)
• Punjabi (Pakistan)
• Punjabi (India)
• Marathi (India)
• Telugu (India)
• Kannada (India)
• Gujarati (India)
• Oriya (India)
• Malayalam (India)
• Urdu (India)
• Persian (Iran)
• Azerbaijani (Azerbaijan)
• Ukrainian (Ukraine)
• Belarusian (Belarus)
• Catalan (Spain)
• Basque (Spain)
• Galician (Spain)
• Slovak (Slovakia)
• Lithuanian (Lithuania)
• Latvian (Latvia)
• Estonian (Estonia)
• Bulgarian (Bulgaria)
• Albanian (Albania)
• Croatian (Croatia)
• Slovenian (Slovenia)
• Bosnian (Bosnia and Herzegovina)
• Serbian (Serbia)
• Macedonian (North Macedonia)
• Montenegrin (Montenegro)
• Maltese (Malta)
• Irish (Ireland)
• Welsh (United Kingdom)
• Scots Gaelic (United Kingdom)
• Icelandic (Iceland)
• Luxembourgish (Luxembourg)
• Afrikaans (South Africa)
• Hausa (Nigeria)
• Yoruba (Nigeria)
• Somali (Somalia)
• Tigrinya (Eritrea)
• Kinyarwanda (Rwanda)
• Sesotho (Lesotho)
• Shona (Zimbabwe)
• Sinhala (Sri Lanka)
• Dhivehi (Maldives)
• Burmese (Myanmar)
• Khmer (Cambodia)
• Mongolian (Mongolia)
• Tibetan (China)
• Uighur (China)
• Pashto (Afghanistan)
• Dari (Afghanistan)
• Nepali (Nepal)
• Dzongkha (Bhutan)
• Sesotho (South Africa)
• Setswana (Botswana)
• Seselwa Creole (Seychelles)
• Mauritian Creole (Mauritius)
• Haitian Creole (Haiti)
• Greenlandic (Greenland)
• Faroese (Faroe Islands)
• Samoan (Samoa)
• Tongan (Tonga)
• English (UK) Pro -->
• English (Australia) Pro -->
• English (Canada) Pro -->
• English (India) Pro -->
• English (Singapore) Pro -->
• English (New Zealand) Pro -->
• English (South Africa) Pro -->
• Spanish (Spain) Pro -->
• Spanish (Mexico) Pro -->
• Spanish (United States) Pro -->
• Arabic (Egypt) Pro -->
• Arabic (United Arab Emirates) Pro -->
• Arabic (Kuwait) Pro -->
• Arabic (Bahrain) Pro -->
• Arabic (Qatar) Pro -->
• Arabic (Oman) Pro -->
• Arabic (Jordan) Pro -->
• Arabic (Lebanon) Pro -->
• Danish (Denmark) Pro -->
• German (Switzerland) Pro -->
• German (Austria) Pro -->
• French (Canada) Pro -->
• French (Switzerland) Pro -->
• French (Belgium) Pro -->
• Italian (Switzerland) Pro -->
• Dutch (Netherlands) Pro -->
• Dutch (Belgium) Pro -->
• Portuguese (Brazil) Pro -->
• Chinese (China) Pro -->
• Chinese (Taiwan) Pro -->
• Chinese (Hong Kong) Pro -->
• Chinese (Singapore) Pro -->
• Korean (South Korea) Pro -->
• Finnish (Finland) Pro -->
• Greek (Greece) Pro -->
• Czech (Czech Republic) Pro -->
• Swedish (Sweden) Pro -->
• Norwegian (Norway) Pro -->
• Turkish (Turkey) Pro -->
• Polish (Poland) Pro -->
• Romanian (Romania) Pro -->
• Hungarian (Hungary) Pro -->
• Thai (Thailand) Pro -->
• Hebrew (Israel) Pro -->
• Indonesian (Indonesia) Pro -->
• Vietnamese (Vietnam) Pro -->
• Malay (Malaysia) Pro -->
• Tagalog (Philippines) Pro -->
• Swahili (Kenya) Pro -->
• Swahili (Tanzania) Pro -->
• Zulu (South Africa) Pro -->
• Xhosa (South Africa) Pro -->
• Amharic (Ethiopia) Pro -->
• Tamil (India) Pro -->
• Tamil (Sri Lanka) Pro -->
• Bengali (Bangladesh) Pro -->
• Bengali (India) Pro -->
• Punjabi (Pakistan) Pro -->
• Punjabi (India) Pro -->
• Marathi (India) Pro -->
• Telugu (India) Pro -->
• Kannada (India) Pro -->
• Gujarati (India) Pro -->
• Oriya (India) Pro -->
• Malayalam (India) Pro -->
• Urdu (India) Pro -->
• Persian (Iran) Pro -->
• Azerbaijani (Azerbaijan) Pro -->
• Ukrainian (Ukraine) Pro -->
• Belarusian (Belarus) Pro -->
• Catalan (Spain) Pro -->
• Basque (Spain) Pro -->
• Galician (Spain) Pro -->
• Slovak (Slovakia) Pro -->
• Lithuanian (Lithuania) Pro -->
• Latvian (Latvia) Pro -->
• Estonian (Estonia) Pro -->
• Bulgarian (Bulgaria) Pro -->
• Albanian (Albania) Pro -->
• Croatian (Croatia) Pro -->
• Slovenian (Slovenia) Pro -->
• Bosnian (Bosnia and Herzegovina) Pro -->
• Serbian (Serbia) Pro -->
• Macedonian (North Macedonia) Pro -->
• Montenegrin (Montenegro) Pro -->
• Maltese (Malta) Pro -->
• Irish (Ireland) Pro -->
• Welsh (United Kingdom) Pro -->
• Scots Gaelic (United Kingdom) Pro -->
• Icelandic (Iceland) Pro -->
• Luxembourgish (Luxembourg) Pro -->
• Afrikaans (South Africa) Pro -->
• Hausa (Nigeria) Pro -->
• Yoruba (Nigeria) Pro -->
• Somali (Somalia) Pro -->
• Tigrinya (Eritrea) Pro -->
• Kinyarwanda (Rwanda) Pro -->
• Sesotho (Lesotho) Pro -->
• Shona (Zimbabwe) Pro -->
• Sinhala (Sri Lanka) Pro -->
• Dhivehi (Maldives) Pro -->
• Burmese (Myanmar) Pro -->
• Lao (Laos) Pro -->
• Khmer (Cambodia) Pro -->
• Mongolian (Mongolia) Pro -->
• Tibetan (China) Pro -->
• Uighur (China) Pro -->
• Pashto (Afghanistan) Pro -->
• Dari (Afghanistan) Pro -->
• Nepali (Nepal) Pro -->
• Dzongkha (Bhutan) Pro -->
• Sesotho (South Africa) Pro -->
• Setswana (Botswana) Pro -->
• Seselwa Creole (Seychelles) Pro -->
• Mauritian Creole (Mauritius) Pro -->
• Haitian Creole (Haiti) Pro -->
• Greenlandic (Greenland) Pro -->
• Faroese (Faroe Islands) Pro -->
• Samoan (Samoa) Pro -->
• Tongan (Tonga) Pro -->

Why Choose Hypothesis-Maker?

Unlock the potential of your research with Hypothesis-Maker. This tool is designed to help you generate clear, concise, and compelling hypotheses for any type of research.

• Formulate hypotheses that set a strong foundation for your research.
• Save time by generating hypotheses quickly and efficiently.
• Tailor the hypotheses to align with your specific research goals and methodologies.

How Does Hypothesis-Maker Work?

Simplify the hypothesis creation process with Hypothesis-Maker. Follow these simple steps to generate effective hypotheses:

1. Provide Your Input

Enter your value in the input box. The AI will interpret the input within the given context.

2. Generate

Click the "Generate" button to craft a compelling and well-structured response.

Use Cases of Hypothesis-Maker

Explore how Hypothesis-Maker can enhance your research across various fields and formats. Whether you're conducting scientific research, social studies, business analysis, or academic projects, this tool can help you create hypotheses that drive your research forward.

Scientific Research Develop hypotheses that guide your experiments and investigations. Hypothesis-Maker helps you outline clear and testable statements that can be empirically evaluated, ensuring your research is grounded in a solid theoretical framework.

Social Studies Generate hypotheses that address social phenomena and human behavior. The tool assists in formulating hypotheses that are relevant, significant, and researchable within the context of social sciences.

Business Analysis Create hypotheses that inform your business strategies and decisions. Use Hypothesis-Maker to develop statements that can be tested through market research, consumer behavior studies, and financial analyses.

Academic Projects Strengthen your academic writing with well-crafted hypotheses. Whether for theses, dissertations, or research papers, Hypothesis-Maker ensures your hypotheses are clear, concise, and aligned with your research questions.

Who Benefits from Hypothesis-Maker?

From researchers, analysts, to students, everyone can benefit from the Hypothesis-Maker tool.

Researchers For researchers, Hypothesis-Maker can help streamline the hypothesis formulation process, allowing you to focus more on data collection and analysis. By using this tool, you can ensure that your research is based on strong, testable hypotheses.

Analysts Enhance your analytical projects with robust hypotheses. Hypothesis-Maker helps analysts in fields like finance, marketing, and data science to develop hypotheses that guide their investigations and support data-driven decision-making.

Students Improve your academic research and writing skills with Hypothesis-Maker. This tool is particularly useful for students who are new to hypothesis formulation, providing guidance and support in creating strong and researchable statements for their projects and assignments.

Error message

Boost your productivity & creativity!

• 500+ tools to spark your creativity.
• 100+ languages, conquer the globe.
• 20+ tones & styles, find your perfect brand voice.
• No document or input limits, write forever!
• Priority support & early access to new features!
• Limited-time offer

Still hesitant? We offer 7-Day Money-Back Guarantee Without Question.

Elevate Every Aspect of Your Work

LogicBalls combines brainstorming, writing, analysis, and research in one powerful AI tool. Enhance your professional content now!

You are using an outdated browser. Please upgrade your browser to improve your experience (and have this site working as it suppose).

Create your rock solid experiment hypothesis

A. fill out the form  , b. your hypothesis will appear here, why should you use this method.

Hypotheses give good test results, simple as that. Use our tool to get structure in how to formulate your hypotheses.

You could use it as a kind of "bullshit detector" - if your hypothesis doesn’t fit into the template it's probably not a good testing hypothesis.

A good hypothesis is a multi-stage rocket - IAR

• Insights - What have you noticed that makes you think that you have to make a change?
• Action - What will you do?
• Results - What do you want to accomplish and how do you measure it?

Get in touch with us

♥ from the Conversionista! team | Report a bug or an issue

Create structured research hypotheses

AI Generators in Science and Research

🔬✍️ Formulate precise, well-founded hypotheses for your studies and scientific work. Explore the potential of your research!

Provide additional feedback

Discover the power of a well-formulated hypothesis with our Research Hypothesis Generator. In the world of scientific research, a solid, relevant hypothesis is the foundation on which any study is built.

🧪 Structured and precise

A well-defined hypothesis can guide your experiments and set the course for your discoveries. Our generator provides you with structured proposals based on your field and subject.

🌌 For all areas

Whether you're in biology, physics or the social sciences, we've got you covered. adapted our tool to meet the diversity of research needs.

💭 Refine Your Thinking

With our help, crystallize your idea into a clear, logical hypothesis. Each proposal is designed to stimulate your thinking and enrich your scientific approach.

Similar publications :

Popular generators:

Create Limitless with Generator AI

Immerse yourself in a world where every idea is instantly transformed into reality. Generator AI brings your boldest visions to life in the blink of an eye.

Test Hypothesis Creator βeta

Having a solid test hypothesis before creating your split test is vital. A Real Hypotheses™ creator helps you.

A great test hypothesis contains all the information needed for anyone to replicate the test, at any time.

Create your own test hypothesis by filling out the empty form fields

Please fill in the form fields above to access your hypothesis.

Want more tools? Sign up to our newsletter!

Great books on conversion rate optimisation, acknowledments.

Thanks to Craig Sullivan for giving me the inspiration for A Real Hypothesis™ creator. Legacy version

Prefer a different approach? Try Hypothesis Creator from Conversionista .

Start testing today!

Online Hypothesis Generator

Add the required information into the fields below to build a list of well-formulated hypotheses.

• If patients follow medical prescriptions, then their condition will improve.
• If patients follow medical prescriptions, then their condition will show better results.
• If patients follow medical prescriptions, then their condition will show better results than those who do not follow medical prescriptions.
• H0 (null hypothesis) - Attending most lectures by first-year students has no effect on their exam scores.
• H1 (alternative hypothesis) - Attending most lectures by first-year students has a positive effect on their exam scores.

* Hint - choose either null or alternative hypothesis

⭐️ Hypothesis Creator: the Benefits

• 🔎 How to Use the Tool?
• 🤔 What Is a Hypothesis?
• 👣 Steps to Generating a Hypothesis
• 🔍 References

🔎 Hypothesis Generator: How to Use It?

The generation of a workable hypothesis is not an easy task for many students. You need to research widely, understand the gaps in your study area, and comprehend the method of hypothesis formulation to the dot. Lucky for you, we have a handy hypothesis generator that takes hours of tedious work out of your study process.

To use our hypothesis generator, you’ll need to do the following:

• Indicate your experimental group (people, phenomena, event)
• Stipulate what it does
• Add the effect that the subject’s activities produce
• Specify the comparison group

Once you put all this data into our online hypothesis generator, click on the “Generate hypothesis” tab and enjoy instant results. The tool will come up with a well-formulated hypothesis in seconds.

🤔 What Is a Research Hypothesis?

A hypothesis is a claim or statement you make about the assumed relationship between the dependent and independent variables you're planning to test. It is formulated at the beginning of your study to show the direction you will take in the analysis of your subject of interest.

The hypothesis works in tandem with your research purpose and research question , delineating your entire perspective.

For example, if you focus on the quality of palliative care in the USA , your perspective may be as follows.

This way, your hypothesis serves as a tentative answer to your research question, which you aim to prove or disprove with scientific data, statistics, and analysis.

Hypothesis Types

In most scholarly studies, you’ll be required to write hypotheses in pairs – as a null and alternative hypothesis :

• The alternative hypothesis assumes a statistically significant relationship between the identified variables. Thus, if you find that relationship in the analysis process, you can consider the alternative hypothesis proven.
• A null hypothesis is the opposite; it assumes that there is no relationship between the variables. Thus, if you find no statistically significant association, the null hypothesis is considered proven.

A handy example is as follows:

You are researching the impact of sugar intake on child obesity. So, based on your data, you can either find that the number of sugar spoons a day directly impacts obesity or that the sugar intake is not associated with obesity in your sample. The hypotheses for this study would be as follows:

ALTERNATIVE

There is a relationship between the number of sugar spoons consumed daily and obesity in U.S. preschoolers.

There is no relationship between the number of sugar spoons consumed daily and obesity in U.S. preschoolers.

Besides, hypotheses can be directional and non-directional by type:

• A directional hypothesis assumes a cause-and-effect relationship between variables, clearly designating the assumed difference in study groups or parameters.
• A non-directional hypothesis , in turn, only assumes a relationship or difference without a clear estimate of its direction.

NON-DIRECTIONAL

Students in high school and college perform differently on critical thinking tests.

DIRECTIONAL

College students perform better on critical thinking tests that high-school students.

👣 How to Make a Hypothesis in Research

Now let’s cover the algorithm of hypothesis generation to make this process simple and manageable for you.

Step #1: Formulate Your Research Question

The first step is to create a research question . Study the topic of interest and clarify what aspect you're fascinated about, wishing to learn more about the hidden connections, effects, and relationships.

Step #2: Research the Topic

Next, you should conduct some research to test your assumption and see whether there’s enough published evidence to back up your point. You should find credible sources that discuss the concepts you’ve singled out for the study and delineate a relationship between them. Once you identify a reasonable body of research, it’s time to go on.

Step #3: Make an Assumption

With some scholarly data, you should now be better positioned to make a researchable assumption.

For instance, if you find out that many scholars associate heavy social media use with a feeling of loneliness, you can hypothesize that the hours spent on social networks will directly correlate with perceived loneliness intensity.

Step #4: Improve Your Hypothesis

Now that you have a hypothesis, it’s time to refine it by adding context and population specifics. Who will you study? What social network will you focus on? In this example, you can focus on the student sample’s use of Instagram .

Step #5: Try Different Phrasing

The final step is the proper presentation of your hypothesis. You can try several variants, focusing on the variables, correlations , or groups you compare.

For instance, you can say that students spending 3+ hours on Instagram every day are lonelier than their peers. Otherwise, you can hypothesize that heavy social media use leads to elevated feelings of loneliness.

👀 Null Hypothesis Examples

If you’re unsure about how to generate great hypotheses, get some inspiration from the list of examples formulated by our writing pros.

Thank you for reading this article! If you’re planning to analyze business issues, try our free templates: PEST , PESTEL , SWOT , SOAR , VRIO , and Five Forces .

❓ Hypothesis Generator FAQ

❓ what does hypothesis mean.

A hypothesis in an essay or a larger research assignment is your claim or prediction of the relationship you assume between the identified dependent and independent variables. You share an assumption that you’re going to test with research and data analysis in the later sections of your paper.

❓ How to create a hypothesis?

The first step to formulating a good hypothesis is to ask a question about your subject of interest and understand what effects it may experience from external sources or how it changes over time. You can identify differences between groups and inquire into the nature of those distinctions. In any way, you need to voice some assumption that you’ll further test with data; that assumption will be your hypothesis for a study.

❓ What is a null and alternative hypothesis?

You need to formulate a null and alternative hypothesis if you plan to test some relationship between variables with statistical instruments. For example, you might compare a group of students on an emotional intelligence scale to determine whether first-year students are less emotionally competent than graduates. In this case, your alternative hypothesis would state that they are, and a null hypothesis would say that there is no difference between student groups.

❓ What does it mean to reject the null hypothesis?

A null hypothesis assumes that there is no difference between groups or that the dependent variables don't have any sizable impact on the independent variable. If your null hypothesis gets rejected, it means that your alternative hypothesis has been proved, showing that there is a tangible difference or relationship between your variables.

Updated: May 10th, 2024

🔗 References

• How to Write a Hypothesis in 6 Steps - Grammarly
• The Hypothesis in Science Writing
• Hypothesis Definition & Examples - Simply Psychology
• Hypothesis Examples: Different Types in Science and Research
• Forming a Good Hypothesis for Scientific Research

Research Hypothesis Generator Online

• ️👍 Hypothesis Maker: the Benefits
• ️🔎 How to Use the Tool?
• ️🕵️ What Is a Research Hypothesis?
• ️⚗️ Scientific Method
• ️🔗 References

👍 Hypothesis Maker: the Benefits

Here are the key benefits of this null and alternative hypothesis generator.

🔎 Hypothesis Generator: How to Use It?

Whenever you conduct research, whether a 5-paragraph essay or a more complex assignment, you need to create a hypothesis for this study.

Clueless about how to create a good hypothesis?

No need to waste time and energy on this small portion of your writing process! You can always use our hypothesis creator to get a researchable assumption in no time.

To get a ready-made hypothesis idea, you need to:

• State the object of your study
• Specify what the object does
• Lay out the outcome of that activity
• Indicate the comparison group

Once all data is inserted into the fields, you can press the “Generate now” button and get the result from our hypothesis generator for research paper or any other academic task.

🕵️ What Is a Research Hypothesis?

A hypothesis is your assumption based on existing academic knowledge and observations of the surrounding natural world.

It also involves a healthy portion of intuition because you should arrive at an interesting, commonsense question about the phenomena or processes you observe.

The traditional formula for hypothesis generation is an “if…then” statement, reflecting its falsifiability and testability.

What do these terms mean?

• Testability means you can formulate a scientific guess and test it with data and analysis.
• Falsifiability is a related feature, allowing you to refute the hypothesis with data and show that your guess has no tangible support in real-world data.

For example, you might want to hypothesize the following:

If children are given enough free play time, their intelligence scores rise quicker.

You can test this assumption by observing and measuring two groups – children involved in much free play and those who don’t get free play time. Once the study period ends, you can measure the intelligence scores in both groups to see the difference, thus proving or disproving your hypothesis, which will be testing your hypothesis. If you find tangible differences between the two groups, your hypothesis will be proven, and if there is no difference, the hypothesis will prove false.

What Is the Difference between Prediction and Hypothesis?

A prediction is your forecast about the outcome of some activities or experimentation. It is a guess of what will happen if you perform some actions with a specific object or person. A hypothesis is a more in-depth inquiry into the way things are related. It is more about explaining specific mechanisms and relationships.

What Makes a Good Hypothesis?

A strong hypothesis should indicate the dependent and independent variables, specifying the relationship you assume between them. You can also strengthen your hypothesis by indicating a specific population group, an intervention period, and the context in which you’ll hold the study.

Null and Alternative Hypothesis

As a rule, hypotheses are presented in pairs in academic studies, as your scientific guess may be refuted or proved. Thus, you should formulate two hypotheses – a null and alternative variant of the same guess – to see which one is proved with your experiment.

The alternative hypothesis is formulated in an affirmative form, assuming a specific relationship between variables. In other words, you hypothesize that the predetermined outcome will be observed if one condition is met.

Watching films before sleep reduces the quality of sleep.

The null hypothesis is formulated in a negative form, suggesting that there is no association between the variables of your interest. For example:

Watching films before sleep doesn’t affect the quality of sleep.

⚗️ Creating a Hypothesis: the Key Steps

The development and testing of multiple hypotheses are the basis of the scientific method .

Without such inquiries, academic knowledge would never progress, and humanity would remain with a limited understanding of the natural world.

How can you contribute to the existing academic base with well-developed and rigorously planned scientific studies ? Here is an introduction to the empirical method of scientific inquiry.

Step #1: Observe the World Around You

Look around you to see what’s taking place in your academic area. If you’re a biology researcher, look into the untapped biological processes or intriguing facts that nobody has managed to explain before you.

What’s surprising or unusual in your observations? How can you approach this area of interest?

That’s the starting point of an academic journey to new knowledge.

Step #2: Ask Questions

Now that you’ve found a subject of interest, it’s time to generate scientific research questions.

A question can be called scientific if it is well-defined, focuses on measurable dimensions, and is largely testable.

Some hints for a scientific question are:

• What effect does X produce on Y?
• What happens if the intensity of X’s impact reduces or rises?
• What is the primary cause of X?
• How is X related to Y in this group of people?
• How effective is X in the field of C?

As you can see, X is the independent variable , and Y is the dependent variable.

This principle of hypothesis formulation is vital for cases when you want to illustrate or measure the strength of one variable’s effect on the other.

Step #3: Generate a Research Hypothesis

After asking the scientific question, you can hypothesize what your answer to it can be.

You don’t have any data yet to answer the question confidently, but you can assume what effect you will observe during an empirical investigation.

For example, suppose your background research shows that protein consumption boosts muscle growth.

In that case, you can hypothesize that a sample group consuming much protein after physical training will exhibit better muscle growth dynamics compared to those who don’t eat protein. This way, you’re making a scientific guess based on your prior knowledge of the subject and your intuition.

Step #4: Hold an Experiment

With a hypothesis at hand, you can proceed to the empirical study for its testing. As a rule, you should have a clearly formulated methodology for proving or disproving your hypothesis before you create it. Otherwise, how can you know that it is testable? An effective hypothesis usually contains all data about the research context and the population of interest.

For example:

Marijuana consumption among U. S. college students reduces their motivation and academic achievement.

• The study sample here is college students.
• The dependent variable is motivation and academic achievement, which you can measure with any validated scale (e.g., Intrinsic Motivation Inventory).
• The inclusion criterion for the study’s experimental group is marijuana use.
• The control group might be a group of marijuana non-users from the same population.
• A viable research methodology is to ask both groups to fill out the survey and compare the results.

Step #5: Analyze Your Findings

Once the study is over and you have the collected dataset, it’s time to analyze the findings.

The methodology should also delineate the criteria for proving or disproving the hypothesis.

Using the previous section’s example, your hypothesis is proven if the experimental group reveals lower motivational scores and has a lower GPA . If both groups’ motivation and GPA scores aren’t statistically different, your hypothesis is false.

Step #6: Formulate Your Conclusion

Using your study’s hypothesis and outcomes, you can now generate a conclusion . If the alternative hypothesis is proven, you can conclude that marijuana use hinders students’ achievement and motivation. If the null hypothesis is validated, you should report no identified relationship between low academic achievement and weed use.

Thank you for reading this article! Note that if you need to conduct a business analysis, you can try our free tools: SWOT , VRIO , SOAR , PESTEL , and Porter’s Five Forces .

Updated: Oct 11th, 2024

🔗 References

• What is and How to Write a Good Hypothesis in Research?
• Research questions, hypotheses and objectives – PMC – NCBI
• Developing the research hypothesis – PubMed
• Alternative Hypothesis – SAGE Research Methods
• Alternative Hypothesis Guide: Definition, Types and Examples

Discover Your Solutions

Making a better world; one solution at a time..

• Ultimate Guide
• Get Organized
• Know Your Problem
• Know Yourself
• Generate Hypotheses
• Cross the Finish Line
• Analyze Your Problem
• Create Solutions
• Evaluate Solutions
• All-In-One Solvers
• Other Resources
• Publications
• Detailed Information
• Introduction
• Download Center
• News & PR

Not a member yet?

Click here to 

Hypothesis Generator

Generate hypothetical solutions..

Use our Hypothesis Generator tool to create potential solutions.

A hypothesis is a declarative statement that has not been established as true. It's a potential explanation.

Create Hypothetical Solutions

Step 1 :  Identify the Factors , Forces , and Major Categories that are part of your problem.

Helpful Hint:

Take a look at the situational logic inherent in your problem. Pay particular attention to what factors and forces are at work - at a particular time and place .

Step 2 :  Determine your key questions using our Key Questions and Starbursting tools. Then find the answers to your high priority questions.

Step 3 :  If you haven't already, you may want to get an overview of the tools we've made available to you for generating new ideas. Please take a quick look at the Create Solutions section of our Toolkit.

Step 4 :  Think of analogies that have some of the same characteristics as your problem. You may want to use our Analogies and Structured Analogies Matrix tools for help.

Step 5 :  Use our Brainstorming tool to create new ideas.

Step 6 :  Consider historical examples of how you or others may have solved this type of problem in the past.

Step 7 :  From the information that you have developed above - extrapolate potential outcomes.

Step 8 :  Create as many alternative solutions as possible.

Step 9 :  Use our Multiple Hypothesis Generator tool to redefine and modify:   Who, What, When, Where, Why, How, From Where, and To Where .

Related Tools :

• Multiple Hypothesis Generator : Use this tool to create multiple possible solutions.
• Hypothesis Testing Matrix : Test and rank your solutions.
• Rival Hypotheses : Create other ways to explain the same set of data.
• Analysis of Competing Hypotheses : Free computer program to evaluate multiple hypotheses.
• Create Solutions : This section of our Toolkit has many other tools for generating solutions.

Copyright © 2012-15 Discover Your Solutions LLC. All Rights Reserved. Privacy Policy | Terms of Use

Hypothesis Generation Toolkit: Identify What to Test, like a Data Scientist

Forget automatic hypothesis generators. Grab custom Google Analytics reports, segments, and an all-in-one spreadsheet to focus on your most profitable optimization ideas.

Download FREE toolkit

Testing ideas that never seem to get the conversion lifts you want?

Wish you had a data scientist on the team, hippo (highest-paid-person’s-opinion) derailing your optimization efforts, a robust hypothesis based on data (and not on gut instinct) is the key to profitable testing., and with this toolkit, you can take your first, easy step towards data driven decision-making., we’ve compiled actionable resources that will point you in the direction of ideas that will actually eliminate the conversion roadblocks your traffic faces., 6 custom segments & 4 reports.

Most marketers use Google Analytics. Your team does too. Supercharge the effectiveness of your Analytics account with 6 custom segments and 4 custom reports that you can set-up/import right away to define your best marketing strategies, your most effective content and your biggest acquisition opportunities.

ALL-IN-ONE GOOGLE DRIVE SPREADSHEET

Fancy tools and dashboards are great. But sometimes simple works just as well. We’ve created a spreadsheet that will help you gather your qualitative and quantitative insights in one place, prioritize ideas and frame a hypothesis that is worth investing your time in.

THIS GUIDE HAS BEEN COMPILED BY

Andra Baragan, Founder @ Ontrack Digital

Andra is an experienced conversion optimization specialist and a certified Data Analyst and Optimizer. She has worked with over 60 online businesses and has brought 6 figures in increased revenue for them

You don’t need a data scientist to craft winning hypothesis. all you need is a solid start. make one..

Start Your 15 -Day Free Trial Right Now. No Credit Card Required

Important. Please Read.

• Check your inbox for the password to Convert’s trial account.
• Log in using the link provided in that email.

This sign up flow is built for maximum security. You’re worth it!

Research Hypothesis Generator

Generate research hypotheses with ai.

• Academic Research: Formulate a hypothesis for your thesis or dissertation based on your research topic and objectives.
• Data Analysis: Generate a hypothesis to guide your data collection and analysis strategy.
• Market Research: Develop a hypothesis to guide your investigation into market trends and consumer behavior.
• Scientific Research: Create a hypothesis to direct your experimental design and data interpretation.

New & Trending Tools

Wedding toast generator, ai answer science questions, ai text analyzer and highlights.