i. For a goodness-of-fit test, the number of degrees of freedom is determined by k - 2, where k is the number of categories.
Ii) The sum of the expected frequencies in a goodness-of-fit test need not equal the sum of the observed frequencies.
Iii) A goodness-of-fit test is a nonparametric test involving a set of observed frequencies and a corresponding set of expected frequencies.
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) (iii) is a correct statement, but (i) and (ii) are false.
Correct Answer:
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Q1: i. Chi-square goodness-of-fit test is the appropriate
Q2: i. The null hypothesis in the goodness-of-fit
Q3: i. If the computed value of chi-square
Q4: i. If there are only two cells
Q5: i. The alternative hypothesis states that there
Q7: i. The chi-square goodness-of-fit test can be
Q8: i. The sum of the expected frequencies
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
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