1) In addition to evaluating the significance of a multiple regression equation, we also should consider ______.

a) the significance of the residual variability

b) the complexity of the correlation coefficient

c) the relative contribution of each other

d) the significance of each individual data point

2) A researcher computes the Wilcoxon signed-ranks T test. She computes T = 68 using a sample of 24 participants. What is the decision for a two-tailed test at a .05 level of significance?

a) retain the null hypothesis

b) reject the null hypothesis

c) there is not enough information to answer this question

3) A researcher computes a related-samples sign test in which the number of positive ranks is 9 and the number of negative ranks is 3. The test statistic (x) is equal to ______.

a) 3

b) 9

c) 12

d) There is not enough information to answer this question.

4) The test statistic for the Friedman test is largest when ______.

a) the ranks for each participant are consistent across groups

b) the mean difference between groups is largest

c) the ranks for each participant are not consistent across groups

d) the value of the test statistic is less than or equal to .05

5) Each of the following hypothesis tests has a normal approximation formula, except for the ______.

a) Mann-Whitney U test

b) Related-samples sign test

c) Wilcoxon signed-ranks T test

d) Friedman test

6) For the Friedman test, when _R^2 is less than the critical value, we decide to ______.

a) retain the null hypothesis

b) reject the null hypothesis

c) not enough information

7) We compare the test statistic of a Kruskal-Wallis H test to the critical value given in the table for which hypothesis test?

a) the analysis of variance

b) the t test

c) the chi-square test

d) the Pearson correlation