What is hypothesis testing?

While hypothesis might make you think of science, hypothesis testing is a mathematical process that involves testing data using statistics to see if there is enough evidence to support a hypothesis. A hypothesis is a belief or a proposed explanation for something that has not yet been backed up by evidence. Hypothesis testing takes the data gathered in an experiment, survey, or other collection of information and interprets it. The five steps of hypothesis testing are specifying the null hypothesis (the statement of no relationship between the factors involved), specifying the alternative hypothesis (the statement that there is a relationship between the factors involved), setting the significance level (the percentage of chance the alternative hypothesis will be accepted), calculating the test statistic and corresponding P-value (probability of obtaining the sample statistic), and drawing a conclusion.

Why is hypothesis testing important to learn?

Learning hypothesis testing is important because it's what allows you to decide if something is true based on real data. If you're in marketing, for example, you can use hypothesis testing in consumer research to see how well your product is accepted by customers. If you're in the medical field, you can use it to see if a treatment has positive effects. An educational institution may be interested in determining if getting eight hours of sleep correlates with higher grades for its students. Hypothesis testing helps remove the likelihood of chance affecting a conclusion and instead backs it up with statistically significant data.

How can taking online courses on Coursera help me learn hypothesis testing?

Online courses on Coursera can help you learn how hypothesis testing applies to a variety of fields, including health care, business, artificial intelligence, psychology, social sciences, and machine learning. You can learn how to use specific statistical tools to conduct hypothesis testing, too, such as R, RStudio for Six Sigma, and Python. With online courses on Coursera, you also have the opportunity to learn the essential building blocks of hypothesis testing, which include choosing the right hypothesis testing tool and performing hypothesis tests using chi-square tests, correlation, t-tests, simple regression, logistic regression, and analysis of variance (ANOVA).

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52 results for "hypothesis testing"

Johns Hopkins University
Hypothesis Testing in Public Health
Skills you'll gain: iOS Development, Hypothesis, Data Analysis, Chi-Squared Distribution, Statistical Tests, Hypothesis Testing, Statistical Analysis, Business Analysis, General Statistics, Probability & Statistics, Biostatistics, Interpretation, Statistical Hypothesis Testing, Confidence, Mobile Development
4.8
(533 reviews)
Beginner · Course
Rice University
Business Applications of Hypothesis Testing and Confidence Interval Estimation
Skills you'll gain: Microsoft Excel, Data Analysis, Statistical Tests, Hypothesis, Statistical Analysis, Probability & Statistics, Hypothesis Testing, Business Analysis, Experiment, Analysis, Spreadsheet Software, Statistical Hypothesis Testing, General Statistics, Relative Change And Difference, Confidence
4.8
(1.2k reviews)
Mixed · Course
Free
Stanford University
Introduction to Statistics
Skills you'll gain: Data Analysis, Regression, Hypothesis, Econometrics, Basic Descriptive Statistics, Machine Learning, Markov Model, Correlation And Dependence, Inference, Statistical Tests, Probability & Statistics, Bayesian Statistics, Probability, Hypothesis Testing, Statistical Inference, Experiment, General Statistics, Analysis, Statistical Analysis, Probability Distribution
4.5
(1.1k reviews)
Beginner · Course
Free
IBM
Exploratory Data Analysis for Machine Learning
Skills you'll gain: Data Visualization, Data Analysis, Python Programming, Machine Learning, NoSQL, Statistical Programming, Exploratory Data Analysis, General Statistics, Computer Programming, Hypothesis, Feature Engineering, Analysis, Experiment, Bayesian Statistics, Statistical Hypothesis Testing, Business Analysis, Probability & Statistics, Hypothesis Testing, Deep Learning, Databases
4.6
(744 reviews)
Intermediate · Course

Searches related to hypothesis testing

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In summary, here are 10 of our most popular hypothesis testing courses

Hypothesis Testing in Public Health: Johns Hopkins University
Hypothesis Testing with Python and Excel: Tufts University
Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
Business Applications of Hypothesis Testing and Confidence Interval Estimation: Rice University
Hypothesis Testing in R: Coursera Project Network
RStudio for Six Sigma - Hypothesis Testing: Coursera Project Network
AI Workflow: Data Analysis and Hypothesis Testing: IBM
Hypotheses Testing in Econometrics: Queen Mary University of London
Introduction to Statistical Analysis: Hypothesis Testing: SAS
Introduction to Statistics: Stanford University

Frequently Asked Questions about Hypothesis Testing

While hypothesis might make you think of science, hypothesis testing is a mathematical process that involves testing data using statistics to see if there is enough evidence to support a hypothesis. A hypothesis is a belief or a proposed explanation for something that has not yet been backed up by evidence. Hypothesis testing takes the data gathered in an experiment, survey, or other collection of information and interprets it. The five steps of hypothesis testing are specifying the null hypothesis (the statement of no relationship between the factors involved), specifying the alternative hypothesis (the statement that there is a relationship between the factors involved), setting the significance level (the percentage of chance the alternative hypothesis will be accepted), calculating the test statistic and corresponding P-value (probability of obtaining the sample statistic), and drawing a conclusion.‎
Learning hypothesis testing is important because it's what allows you to decide if something is true based on real data. If you're in marketing, for example, you can use hypothesis testing in consumer research to see how well your product is accepted by customers. If you're in the medical field, you can use it to see if a treatment has positive effects. An educational institution may be interested in determining if getting eight hours of sleep correlates with higher grades for its students. Hypothesis testing helps remove the likelihood of chance affecting a conclusion and instead backs it up with statistically significant data.‎
Online courses on Coursera can help you learn how hypothesis testing applies to a variety of fields, including health care, business, artificial intelligence, psychology, social sciences, and machine learning. You can learn how to use specific statistical tools to conduct hypothesis testing, too, such as R, RStudio for Six Sigma, and Python. With online courses on Coursera, you also have the opportunity to learn the essential building blocks of hypothesis testing, which include choosing the right hypothesis testing tool and performing hypothesis tests using chi-square tests, correlation, t-tests, simple regression, logistic regression, and analysis of variance (ANOVA).‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Filter by

52 results for "hypothesis testing"

Hypothesis Testing in Public Health

Hypothesis Testing with Python and Excel

Statistical Inference and Hypothesis Testing in Data Science Applications

Business Applications of Hypothesis Testing and Confidence Interval Estimation

Hypothesis Testing in R

RStudio for Six Sigma - Hypothesis Testing

AI Workflow: Data Analysis and Hypothesis Testing

Hypotheses Testing in Econometrics

Introduction to Statistical Analysis: Hypothesis Testing

Introduction to Statistics

Understanding Clinical Research: Behind the Statistics

Exploratory Data Analysis for Machine Learning

Searches related to hypothesis testing

In summary, here are 10 of our most popular hypothesis testing courses

Frequently Asked Questions about Hypothesis Testing

What is hypothesis testing?‎

Why is hypothesis testing important to learn?‎

How can taking online courses on Coursera help me learn hypothesis testing?‎

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52 results for "hypothesis testing"

Searches related to hypothesis testing

In summary, here are 10 of our most popular hypothesis testing courses

Frequently Asked Questions about Hypothesis Testing

What is hypothesis testing?‎

Why is hypothesis testing important to learn?‎

How can taking online courses on Coursera help me learn hypothesis testing?‎

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Start or advance your career

Browse popular topics

Popular courses and articles

Earn a degree or certificate online

Coursera

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