i. For a goodness-of-fit test, the following are possible null and alternate hypotheses. Null: Sales are uniformly distributed among the five locations. Alternate: Sales are not uniformly distributed among the five locations. ii. The number of degrees of freedom appropriate for the chi-square goodness-of-fit test is the number of categories minus 1. iii. If there are extremely large differences between observed and expected frequencies the correct decision is to accept H₀. A) (i), (ii), and (iii) are all correct statements. B) (i) and (ii) are correct statements but not (iii). C) (i) and (iii) are correct statements but not (ii). D) (ii) and (iii) are correct statements but not (i). E) (i), (ii), and (iii) are all false statements.

Question

Quizplus · Accepted Answer

(i) is correct since it states the null and alternative hypotheses for a goodness-of-fit test.
(ii) is correct because the number of degrees of freedom for a chi-square goodness-of-fit test is calculated by subtracting 1 from the number of categories.
(iii) is incorrect because if there are extremely large differences between observed and expected frequencies, then the correct decision is to reject the null hypothesis, not to accept it.

I for a Goodness-Of-Fit Test, the Following Are Possible Null