If you're seeing this message, it means we're having trouble loading external resources on our website.

If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked.

To log in and use all the features of Khan Academy, please enable JavaScript in your browser.

Main content

Unit: Inference for categorical data (chi-square tests)

0

Possible mastery points

About this unit

Chi-square tests are a family of significance tests that give us ways to test hypotheses about distributions of categorical data. This topic covers goodness-of-fit tests to see if sample data fits a hypothesized distribution, and tests for independence between two categorical variables.

Chi-square goodness-of-fit tests

Learn

Practice

Expected counts in a goodness-of-fit testGet 3 of 4 questions to level up!
Conditions for a goodness-of-fit testGet 3 of 4 questions to level up!
Test statistic and P-value in a goodness-of-fit testGet 3 of 4 questions to level up!
Conclusions in a goodness-of-fit testGet 3 of 4 questions to level up!

Chi-square tests for relationships

Learn

Practice

Expected counts in chi-squared tests with two-way tablesGet 3 of 4 questions to level up!
Test statistic and P-value in chi-square tests with two-way tablesGet 3 of 4 questions to level up!
Making conclusions in chi-square tests for two-way tablesGet 3 of 4 questions to level up!

Up next for you:

Unit test

Level up on all the skills in this unit and collect up to 700 Mastery points!