When using the chi-square goodness-of-fit-test,a statistician needs to make certain that none of the expected frequencies (or values)are less than:
A)the number of categories.
B)5
C)10
D)30

Question

Quizplus · Accepted Answer

The chi-square goodness-of-fit-test assumes that all expected frequencies are greater than or equal to 5. This assumption is important because if any expected frequency is less than 5, then the chi-square distribution is not a good approximation, and the test results may be unreliable. Therefore, it is necessary to make sure that none of the expected frequencies are less than 5.

When Using the Chi-Square Goodness-Of-Fit-Test,a Statistician Needs to Make Certain