Statistics (STAT 101) Chi-Square Tests (Contingency Tables + Goodness-of-Fit) Practice Problems
University of Florida
Statistics (STAT 101) | Practice Problems

Overview
A practice packet covering chi-square goodness-of-fit and contingency-table independence tests with clear assumption checks.

Key topics
•expected counts and assumptions
•goodness-of-fit setup
•independence test on contingency tables
•degrees of freedom rules
•interpreting p-values and residuals

Suggested study tasks
•compute expected counts for a contingency table
•calculate chi-square and df for an independence test
•run a goodness-of-fit test from observed counts
•interpret results in context (association vs causation)
•check whether expected counts are large enough

Common pitfalls
•using proportions instead of counts
•wrong degrees of freedom
•claiming causation from association
•ignoring small expected-count warnings