When conducting a hypothesis test with chi-square analysis,the null hypothesis is rejected when the differences between the expected and observed frequencies are relatively large.

Question

Quizplus · Accepted Answer

This is true. In chi-square analysis, the null hypothesis assumes that there is no significant difference between the expected and observed frequencies. If the calculated chi-square value is large enough to reject the null hypothesis, it means that the differences between expected and observed frequencies are relatively large and significant.

When Conducting a Hypothesis Test with Chi-Square Analysis,the Null Hypothesis