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8.6 Carrying Out a Chi-Square Test for Homogeneity or Independence

Part of Inference for Categorical Data: Chi-Square in AP® Statistics. Read the opening section, then create a free account for the full interactive lesson, practice, and progress tracking.

Complete Chi-Square Test for Independence

Continuing the party/tax example:

χ2=85.71{\chi^2 = 85.71}, df=1{df = 1}, p=P(χ12≥85.71)≈0.000{p = P(\chi^2_1 \geq 85.71) \approx 0.000} (essentially 0)

Full solution using PHANTOMS: P: Association between party affiliation and tax opinion in the population
H: H0{H_0}: No association; Ha{H_a}: There is an association
A: Random ✓; 10% condition ✓; all Eij≥5{E_{ij} \geq 5} ✓
N: Chi-square test for independence, df=1{df = 1}
T: χ2=85.71{\chi^2 = 85.71}
O: p≈0.000{p \approx 0.000}
M: p<0.05{p < 0.05} → Reject H0{H_0}
S: We have convincing evidence of an association between party affiliation and opinion on the tax increase. Democrats were much more likely to support the tax (120/150 = 80%) while Republicans were more likely to oppose it (110/150 = 73%).

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