Social Statistics For A Diverse Society 8th Edition By Frankfort Nachmias – Test Bank

Overview

Chapter 11:
Analysis of Variance
Test Bank

Multiple Choice

1. An analysis of variance with one dependent and one independent variable is referred to as a
a. single correlation.
b. multiple regression.
c. one-way ANOVA.
d. multiple ANOVA.
Ans: c
Learning Objective: 11-1: Explain the application of a one-way analysis of variance (ANOVA) model
Cognitive Domain: Knowledge
Answer Location: Understanding Analysis of Variance
Difficulty Level: Easy

2. ANOVA is best suited for comparing the means of ______ group(s) at once.
a. identical
b. one
c. at least two
d. deviant
Ans: c
Learning Objective: 11-1: Explain the application of a one-way analysis of variance (ANOVA) model
Cognitive Domain: Comprehension
Answer Location: Understanding Analysis of Variance
Difficulty Level: Easy

3. Differences between samples, or within a single sample, are referred to as the
a. variance.
b. mean.
c. parameter.
d. deviation.
Ans: a
Learning Objective: 11-1: Explain the application of a one-way analysis of variance (ANOVA) model
Cognitive Domain: Knowledge
Answer Location: Understanding Analysis of Variance
Difficulty Level: Easy

4. What is the null hypothesis when using ANOVA procedures?
a.
b.
c.
d.
Ans: d
Learning Objective: 11-1: Explain the application of a one-way analysis of variance (ANOVA) model
Cognitive Domain: Knowledge
Answer Location: Setting the Research and the Null Hypotheses and Setting Alpha
Difficulty Level: Easy

5. In order to determine whether the differences between group means are statistically significant, ANOVA examines the differences
a. between groups.
b. within groups.
c. between and within groups.
d. neither between nor within groups.
Ans: c
Learning Objective: 11-2: Define the concepts of between and within total variance
Cognitive Domain: Comprehension
Answer Location: The Concepts of Between and Within Total Variance
Difficulty Level: Medium

6. ANOVA allows us to determine whether the variance between samples is larger than the variance within samples. If the variance is larger between samples, what can we say about the group differences we are interested in analyzing?
a. There are no group differences.
b. There may be group differences.
c. The dependent variables vary significantly across groups.
d. The dependent variables vary significantly within groups.
Ans: c
Learning Objective: 11-2: Define the concepts of between and within total variance
Cognitive Domain: Comprehension
Answer Location: The Concepts of Between and Within Total Variance
Difficulty Level: Medium

7. Which of the following is an assumption of ANOVA?
a. The population is not normally distributed.
b. The dependent variable is a nominal level of measurement.
c. The population variances are statistically significant.
d. Independent random samples are used.
Ans: d
Learning Objective: 11-1: Explain the application of a one-way analysis of variance (ANOVA) model
Cognitive Domain: Knowledge
Answer Location: The Assumptions
Difficulty Level: Easy

8. What is the research hypothesis when using ANOVA procedures?
a.
b.
c. At least one of the group means is significantly different from the others.
d. All of the group means are significantly different from all other group means.
Ans: c
Learning Objective: 11-1: Explain the application of a one-way analysis of variance (ANOVA) model
Cognitive Domain: Comprehension
Answer Location: Stating the Research and the Null Hypotheses and Setting Alpha
Difficulty Level: Easy

9. What does the between-group sum of squares measure?
a. The sum of the squared deviations between each group mean and every other group mean
b. The sum of the squared deviations between each group mean and the mean across all groups
c. The sum of the squared deviations between each individual observation and its group mean
d. The sum of the squared deviations between each individual observation and the mean across all groups
Ans: b
Learning Objective: 11-2: Define the concepts of between and within total variance
Cognitive Domain: Comprehension
Answer Location: The Concepts of Between and Within Total Variance
Difficulty Level: Medium

10. The amount of variation in the dependent variable that can be attributed to or explained by the independent variable is called the
a. between-group sum of squares.
b. within-group sum of squares.
c. total sum of squares.
d. correlation coefficient.
Ans: a
Learning Objective: 11-2: Define the concepts of between and within total variance
Cognitive Domain: Comprehension
Answer Location: The Concepts of Between and Within Total Variance
Difficulty Level: Medium