Key Takeaways
Lesson Description
Key Takeaways
⢠Chi-square tests compare observed and expected counts.
⢠Goodness-of-fit tests evaluate whether a distribution matches expectations.
⢠Tests for homogeneity compare distributions across populations.
⢠Tests of independence determine whether two categorical variables are associated.
⢠Large chi-square statistics provide stronger evidence against the null hypothesis.
Must Know Equations
Chi-Square Statistic:
Ď² = ÎŁ[(ObservedâExpected)²/Expected]
Must Know Vocabulary
Chi-Square Test
Observed Count
Expected Count
Goodness-of-Fit
Homogeneity
Independence
Contingency Table
AP Exam Focus
⢠Perform chi-square calculations.
⢠Interpret contingency tables.
⢠Draw conclusions using p-values.