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Unit 8 of 9

Inference for Categorical Data: Chi-Square

This unit extends inference to categorical data with multiple categories, using the chi-square distribution. Students conduct goodness-of-fit tests to compare observed distributions to expected distributions, and tests for homogeneity and independence using two-way tables.

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UnitsLessons
  1. 03Collecting Data7
  2. 04Probability, Random Variables, and Probability Distributions12
  3. 05Sampling Distributions8
  4. 06Inference for Categorical Data: Proportions11
  5. 07Inference for Quantitative Data: Means9
  6. 08Inference for Categorical Data: Chi-Square6
  7. 09Inference for Quantitative Data: Slopes5
2 more units in the course outline
Units of AP® StatisticsFull outline

Lessons

6 lessons in this unit

  1. 8.1Introducing Statistics: Are My Results Unexpected?Preview lesson
  2. 8.2Setting Up a Chi-Square Goodness of Fit TestPreview lesson
  3. 8.3Carrying Out a Chi-Square Test for Goodness of FitPreview lesson
  4. 8.4Expected Counts in Two-Way TablesPreview lesson
  5. 8.5Setting Up a Chi-Square Test for Homogeneity or IndependencePreview lesson
  6. 8.6Carrying Out a Chi-Square Test for Homogeneity or IndependencePreview lesson

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