CHAPTERS 11, 12 & 13 ANALYSIS OF
VARIANCE ANOVA QUIZ 9.2. EXAM
QUESTIONS AND ANSWERS (VERIFIED
AND UPDATED)
"Assumptions of the analysis of variance" deals with:
-whether the different levels of the independent variable produce sets of scores that are about
equally variable
-the form of the distribution of the dependent variable
Correct!
-both of the descriptive alternatives are correct
-neither of the descriptive alternatives is correct - ANS -both of the descriptive alternatives
are correct
Analysis of Variance (ANOVA) is an inferential technique used to compare two or more group
means using variances rather than means in the calculations.
Which of the following is (are) an assumption of ANOVA?
-the form of the distribution of each population from which samples are drawn is normal
-the samples come from populations that have equal variances
-both of the descriptive alternatives are correct
@2026/2027 ALLRIGHTS RESERVED.
,-neither of the descriptive alternatives are correct - ANS both of the descriptive alternatives
are correct
The ANOVA technique as described in Chapter 11 cannot be used when:
-the number of scores in each group is unequal
-subjects are randomly assigned to one of the groups before the independent variable is
administered
-samples are drawn from populations that have equal variances
-subjects participate in every level of the independent variable - ANS subjects participate in
every level of the independent variable
The ANOVA techniques described in Chapter 11 cannot be used to analyze an experiment with
two levels of the independent variable
three levels of the independent variable
paired samples designs
independent samples designs - ANS paired samples designs
The techniques of Chapter 11 are not appropriate if the data come from:
a paired-samples design
populations that do not have the same mean
both of the descriptive alternatives are correct
neither of the descriptive alternatives is correct - ANS a paired-samples design
Which of the alternatives below describes a situation for which ANOVA would not be
appropriate?
@2026/2027 ALLRIGHTS RESERVED.
, the three population means are different
the three population variances are very large
one population variance is large, one small
all of the descriptive alternatives are correct - ANS one population variance is large, one small
The larger the population variance, the larger blank is.
F
df
MSerror
all of the descriptive alternatives are correct - ANS MSerror
-One-way, between subjects ANOVA is used to compare two or more, independent groups along
a single independent variable. The formulae for one-way, between subjects ANOVA are on
pages 242 to 246 in your text.
When the null hypothesis is false, which of the following is a good estimate of the population
variance?
MStreat
MSerror
both of the descriptive alternatives are correct
neither of the descriptive alternatives is correct - ANS MSerror
The null hypothesis tested by the analysis of variance is that
all sample statistics (means) are the same
one or more samples come from a different population
one or more samples come from a significantly different population
all population means are the same - ANS all population means are the same
@2026/2027 ALLRIGHTS RESERVED.
VARIANCE ANOVA QUIZ 9.2. EXAM
QUESTIONS AND ANSWERS (VERIFIED
AND UPDATED)
"Assumptions of the analysis of variance" deals with:
-whether the different levels of the independent variable produce sets of scores that are about
equally variable
-the form of the distribution of the dependent variable
Correct!
-both of the descriptive alternatives are correct
-neither of the descriptive alternatives is correct - ANS -both of the descriptive alternatives
are correct
Analysis of Variance (ANOVA) is an inferential technique used to compare two or more group
means using variances rather than means in the calculations.
Which of the following is (are) an assumption of ANOVA?
-the form of the distribution of each population from which samples are drawn is normal
-the samples come from populations that have equal variances
-both of the descriptive alternatives are correct
@2026/2027 ALLRIGHTS RESERVED.
,-neither of the descriptive alternatives are correct - ANS both of the descriptive alternatives
are correct
The ANOVA technique as described in Chapter 11 cannot be used when:
-the number of scores in each group is unequal
-subjects are randomly assigned to one of the groups before the independent variable is
administered
-samples are drawn from populations that have equal variances
-subjects participate in every level of the independent variable - ANS subjects participate in
every level of the independent variable
The ANOVA techniques described in Chapter 11 cannot be used to analyze an experiment with
two levels of the independent variable
three levels of the independent variable
paired samples designs
independent samples designs - ANS paired samples designs
The techniques of Chapter 11 are not appropriate if the data come from:
a paired-samples design
populations that do not have the same mean
both of the descriptive alternatives are correct
neither of the descriptive alternatives is correct - ANS a paired-samples design
Which of the alternatives below describes a situation for which ANOVA would not be
appropriate?
@2026/2027 ALLRIGHTS RESERVED.
, the three population means are different
the three population variances are very large
one population variance is large, one small
all of the descriptive alternatives are correct - ANS one population variance is large, one small
The larger the population variance, the larger blank is.
F
df
MSerror
all of the descriptive alternatives are correct - ANS MSerror
-One-way, between subjects ANOVA is used to compare two or more, independent groups along
a single independent variable. The formulae for one-way, between subjects ANOVA are on
pages 242 to 246 in your text.
When the null hypothesis is false, which of the following is a good estimate of the population
variance?
MStreat
MSerror
both of the descriptive alternatives are correct
neither of the descriptive alternatives is correct - ANS MSerror
The null hypothesis tested by the analysis of variance is that
all sample statistics (means) are the same
one or more samples come from a different population
one or more samples come from a significantly different population
all population means are the same - ANS all population means are the same
@2026/2027 ALLRIGHTS RESERVED.
