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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.
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