i. The sum of the expected frequencies in a goodness-of-fit test need not equal the sum of the observed frequencies.
ii. A goodness-of-fit test is a nonparametric test involving a set of observed frequencies and a corresponding set of expected frequencies.
Iii) 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.
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) All statements are false
Correct Answer:
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Q9: i. The chi-square goodness-of-fit test can be
Q10: i. For a goodness-of-fit test, the following
Q11: i. For a goodness-of-fit test, the following
Q12: i. For a goodness-of-fit test, the number
Q13: i. The number of degrees of freedom
Q15: i. The chi-square goodness-of-fit test is appropriate
Q16: i. chi-square test statistic used in a
Q17: i. If the computed value of chi-square
Q18: i. A goodness-of-fit test is a nonparametric
Q19: i. In the goodness-of-fit test, the chi-square
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