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Behavioral Sciences STAT 2nd Edition By Gary Heiman – Test Bank
Multiple Choice
1. The independent variable matches which of the following ANOVA terms?
a. Treatment effect
b. Factor
c. Level
d. Mean square
ANSWER: b DIFFICULTY: Easy REFERENCES: p. 185
An Overview of the Analysis of Variance
KEYWORDS: independent variables
2. The term condition matches which of the following ANOVA terms?
a. Factor
b. Mean square
c. Treatment effect
d. Level
ANSWER: d DIFFICULTY: Easy REFERENCES: p. 185
An Overview of the Analysis of Variance
KEYWORDS: condition
3. Analysis of variance is the most common inferential statistical procedure used to analyze experiments because
a. most researchers are more interested in whether there are differences in the variance among the conditions than in whether there are differences in the means.
b. it is the only statistical procedure that can test either between-subjects factors or within-subjects factors.
c. there are several different versions of it, and so it can test for possible treatment effects more accurately than the two-sample tests.
d. there are several different versions of it, and so it can be used with many different designs.
ANSWER: d DIFFICULTY: Easy REFERENCES: p. 185
An Overview of the Analysis of Variance
KEYWORDS: ANOVA
4. Which of the following is one of the requirements for using a one-way, between-subjects ANOVA?
a. The means of the populations represented are homogeneous.
b. The populations represented have significantly different variances.
c. Each sample represents a normally distributed population of nominal or ordinal scores.
d. The scores in each condition are independent samples.
ANSWER: d DIFFICULTY: Easy REFERENCES: p. 186
An Overview of the Analysis of Variance
KEYWORDS: requirements
5. Post hoc comparisons are used in one-way ANOVA to compare all the possible
a. pairs of sample variances from different levels of a factor to determine which are significantly different from each other.
b. pairs of sample means from different levels of a factor to determine which are significantly different from each other.
c. variances to each other.
d. pairs of sample means from different factors to determine whether they are significantly different from each other.
ANSWER: b DIFFICULTY: Easy REFERENCES: p. 188
An Overview of the Analysis of Variance
KEYWORDS: post hoc comparisons
6. The variance ( ) corresponds with which of the following ANOVA terms?
a. Treatment effect
b. Factor
c. Mean square
d. Sum of squares
ANSWER: c DIFFICULTY: Easy REFERENCES: p. 189
Components of the ANOVA
KEYWORDS: mean square
7. Which of the following is not true of the analysis of variance?
a. It is used for experiments with two or more sample means.
b. It determines whether significant differences exist in an experiment involving more than two conditions.
c. It has a higher rate of Type I error than the two-sample t-tests.
d. It is a parametric procedure.
ANSWER: c DIFFICULTY: Easy REFERENCES: pp. 185-188
An Overview of the Analysis of Variance
8. Which of the following is the for ANOVA?
ANSWER: a DIFFICULTY: Easy REFERENCES: pp. 187-188
An Overview of the Analysis of Variance
KEYWORDS: alternative hypothesis
9. Post hoc comparisons are used
a. prior to the calculation of to determine if an ANOVA is necessary.
b. after is found to be significant.
c. when we plan on comparing only certain specified pairs of sample means with each other.
d. after is found to be nonsignificant.
ANSWER: b DIFFICULTY: Easy REFERENCES: p. 188
An Overview of the Analysis of Variance
KEYWORDS: post hoc comparisons
10. When Tukey’s HSD test is used, two means are significantly different if the absolute difference between them is
a. equal to the HSD.
b. greater than the HSD.
c. zero.
d. less than the HSD.
ANSWER: b DIFFICULTY: Easy REFERENCES: p. 196
Performing the Tukey HSD Test
KEYWORDS: Tukey’s HSD
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