In a chi-square test for the difference between two proportions, p is the estimate of the population parameter π if the null hypothesis of no group differences were false.

Question

Quizplus · Accepted Answer

In a chi-square test for the difference between two proportions, p is not directly an estimate of the population parameter π under the null hypothesis. Instead, p-values are used to determine the probability of observing the data (or more extreme) given that the null hypothesis is true. The test itself assesses whether observed frequencies differ significantly from expected frequencies under the null hypothesis of no difference between groups.

In a Chi-Square Test for the Difference Between Two Proportions