The $\chi^{2}$ sampling distribution contains
A)all possible values of $\chi^{2}$ occurring when $H_{0}$ is true.
B)all possible values of $\chi^{2}$ occurring when $H_{a}$ is true.
C)all possible observed frequencies for a given number of categories and a given N.
D)all possible expected frequencies for a given number of categories and a given N.

Question

Quizplus · Accepted Answer

The $\chi^{2}$ sampling distribution consists of all possible values of $\chi^{2}$ that could occur under the null hypothesis ($H_{0}$). It is used to determine the probability of observing a test statistic as extreme as, or more extreme than, the value calculated from the sample data, assuming the null hypothesis is true.

The χ2\chi^{2}χ2 Sampling Distribution Contains A)all Possible Values Of χ2\chi^{2}χ2 Occurring When H0H_{0}H0​

The $\chi^{2}$ Sampling Distribution Contains
A)all Possible Values Of $\chi^{2}$ Occurring When $H_{0}$