1. A researcher reports the following results for a chi-square test for independence: ² (1) = 5.39, p < .05 ( V = .22). How many groups were observed?

a) 1

b) 2

c) 3

d) 4

2. If the expected frequencies are equal to observed frequencies for a chi-square test for independence, what do we conclude?

a) the degrees of freedom for the test are equal to 0

b) the test statistic value is equal to 0

c) the frequencies observed fit well with the frequencies expected

d) the test statistic value is equal to 0 and the frequencies observed fit well with the frequencies expected

3. A researcher computes a 2 X 3 chi-square test for independence. In this example, the degrees of freedom are 2.

True or False

4. To interpret a chi-square goodness-of-fit test, we compare observed and expected frequencies at each level of the categorical variable, and not across the levels of the categorical variable.

True or False

5. A chi-square goodness-of-fit test with five levels of a categorical variable will have four degrees of freedom.

True or False

6. Parametric tests are often called distribution-free tests.

True or False

7. We compute the frequency expected in each category using known ______ stated in the null hypothesis.

a) hypothesis tests

b) proportions

c) variances

d) effect sizes

8. Many nonparametric tests are called ______ because they make no assumptions regarding the shape of the distribution in the population.

a) parametric tests

b) skewed-distribution tests

c) significance-free tests

d) distribution-free tests