In a one-way chi-square test,the null hypothesis states that if the observed frequencies do not equal the expected frequencies,it is
A)because the data do not meet the assumptions of the test.
B)because the data represent a population distribution other than the expected one.
C)because of design insufficiencies.
D)because of sampling error.

Question

Quizplus · Accepted Answer

The null hypothesis in a one-way chi-square test states that any differences between the observed frequencies and the expected frequencies are due to random sampling error. The other answer choices (A, B, and C) do not accurately describe the null hypothesis in this test.

In a One-Way Chi-Square Test,the Null Hypothesis States That If