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# Unit 14: Inference for categorical data (chi-square tests)

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## 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.

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- 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!

### 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!

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