Deck 13: Analysis of Variance Anova

Question 1

Analysis of variance is used to test the equality of means across three or more categories.

Answer 1

True

Question 2

The global F-test tests whether all groups have significantly different means.

Answer 2

False

Question 3

A post hoc test tests all possible pairs of mean differences.

Answer 3

True

Question 4

Tukey, Bonferroni, and Scheffe are the names of three popular t-tests.

Question 5

Analysis of variance is not appropriate for testing the statistical significance of continuous ordinal variable relationships.

Question 6

Analysis of variance appears to be less robust than the t-test for deviations from normality.

Question 7

Our main concern with homogeneity is that there are no substantial differences in the amount of variance across the groups.

Question 8

The Levene's test is a test for testing whether variances across groups are equal.

Question 9

The term "homogeneous subsets" means that groups that have statistically identical means.

Question 10

The Levene's test is a test for testing whether changes in means are linear.

Question 11

Multiple analysis of variance involves the analysis of more than one independent variable on a single dependent variable.

Question 12

An interaction effect between two variables describes the way that variables "work together" to have an effect on the dependent variable.

Question 13

Two-way analysis of variance, for example, allows for testing of the effect of two different independent variables on the dependent variable.

Question 14

A nonparametric alternative to one-way analysis of variance (ANOVA) is Kruskal-Wallis' H test of one-way ANOVA.

Question 15

Kruskal-Wallis' H test reports mean values of the dependent variable and identifies heterogeneous subsets.