The value of the test statistic for a chi-square test is equal to 0 when there is no difference between observed and expected frequencies,and it gets larger,or more positive,as the differences get larger.

Question

Quizplus · Accepted Answer

The chi-square test statistic measures the goodness of fit between observed and expected frequencies, and it is calculated as the sum of the squared differences divided by the expected frequencies. When there is no difference between observed and expected frequencies, the test statistic will be equal to 0. As the differences between observed and expected frequencies get larger, the test statistic will increase as well. Therefore, the statement is true.

The Value of the Test Statistic for a Chi-Square Test