Analysis of variance (ANOVA) is most applicable when there
a. are only two means being compared.
b. is exactly one categorical variable to be considered.
c. are more than two means being compared.
d. is the potential for a causal relationship between a continuous independent variable and a categorical dependent variable.
e. is a need to examine interjudge reliability.
Question 2A gas station wants to compare a group of consumers' overall perceptions of service with overall perceptions of service for a nearby competitor. This situation calls for the use of
a. paired sample t-test for means.
b. analysis of variance.
c. regression analysis.
d. independent samples t-test for means.
e. correlation analysis.
Question 3A gum manufacturer wants to determine whether blue packaging or red packaging is preferred. The company performs a sales test by introducing red packages into a random sample of ten stores and blue packages are introduced in an independent, random sample of ten stores. The technique most appropriate for analyzing the data is
a. paired sample t-test for means.
b. Spearman rank-order correlation analysis.
c. regression analysis.
d. independent samples t-test for means.
e. correlation analysis.
Question 4Cramer's V is scaled to range between
a. 0.0 and 1.0.
b. -1.0 and 0.0.
c. -1.0 and 1.0.
d. 0.0 to .
e. to .
Question 5When using the z-test to compare proportions, the minimum cell size required is
a. 10 per cell.
b. 11 per cell.
c. 20 per cell.
d. 30 per cell.
e. 70 per cell.
Question 6A popular approach to measuring the strength of the relationship between two categorical variables is
a. cross tabulation.
b. Pearson chi-square test of independence.
c. Cramer's V.
d. regression analysis.
e. Kendall's coefficient of concordance.
Question 7Which of the following concerning the Pearson chi-square test is FALSE?
a. The Pearson chi-square test is conceptually similar to the chi-square goodness-of-fit test.
b. The Pearson chi-square test tests the null hypothesis that the variables are independent.
c. The Pearson chi-square test measures the degree of association between variables.
d. The Pearson chi-square test assesses the degree to which the two variables in a cross tabulation analysis are independent of one another.
e. All of the above statements concerning the Pearson chi-square test are true.
Question 8The upper limit of the Pearson chi-square test of independence is limited by
a. sample size.
b. the distribution of cases across the cells.
c. degrees of freedom.
d. Both a and b.
e. a, b, and c.
Question 9Which of the following is FALSE about cross tabulations?
a. Cross tabulations work equally well with continuous measures that have been recast as categorical measures.
b. Cross tabulations are used for studying the relationships between two (or more) categorical variables.
c. Recasting continuous measures into categories may result in lowered statistical power.
d. Cross tabulation seeks to investigate the influence of the independent variable on the dependent variable.
e. Recasting continuous measures into categories almost never results in the loss of information.
Question 10Multicollinearity is said to be present in a regression problem if the
a. predictor variables are independent.
b. criterion variables are independent.
c. criterion variables are correlated among themselves.
d. predictor variables are correlated among themselves.
e. error terms are correlated.
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