Question 1

In contrast to the analysis of variance, tind is limited because.

Accepted Answer

A) the means must be based on the same number of scores 
B) the assumptions of the t test are more rigid 
C) the value of alpha may only be .05 
D) only two groups can be compared at one time 
A) the means must be based on the same number of scores 
B) the assumptions of the t test are more rigid 
C) the value of alpha may only be .05 
D) only two groups can be compared at one time

Question 2

The effect of the independent variable is reflected in in a one-factor between-subjects analysis of variance.

Accepted Answer

A) MSA 
B) MSError 
C) SSTotal 
D) SSError 
A) MSA 
B) MSError 
C) SSTotal 
D) SSError

Question 3

If the results of an experiment using the one-factor between-subjects analysis of variance were summarized as F(2, 30) = 2.46, p > .05, then you would know that the number of levels of factor A was.

Accepted Answer

A) 2 
B) 3 
C) 4 
D) not enough 
A) 2 
B) 3 
C) 4 
D) not enough

Question 4

The SSA in a one-factor between-subjects analysis of variance represents the variation.

Accepted Answer

A) of the individual scores from the grand mean 
B) of group means from the grand mean 
C) of scores within the treatment groups 
D) in degrees of freedom 
A) of the individual scores from the grand mean 
B) of group means from the grand mean 
C) of scores within the treatment groups 
D) in degrees of freedom

Question 5

If you reject H0 in a one-factor between-subjects analysis of variance, then you conclude that the.

Accepted Answer

A) variances of each group are equal 
B) variances of each group are not equal 
C) group means differ because of sampling error 
D) group means differ by more than sampling error alone 
A) variances of each group are equal 
B) variances of each group are not equal 
C) group means differ because of sampling error 
D) group means differ by more than sampling error alone

Question 6

In a one-factor between-subjects analysis of variance, the mean square for factor A is also known as the variance.

Accepted Answer

A) within-groups 
B) between-groups 
C) common-groups 
D) independent-groups 
A) within-groups 
B) between-groups 
C) common-groups 
D) independent-groups

Question 7

The deviation represented by $X - \bar { X } _ { A }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

Accepted Answer

A) effect of factor A alone 
B) effect of factor A plus sampling error 
C) total variation 
D) within-groups error variation 
A) effect of factor A alone 
B) effect of factor A plus sampling error 
C) total variation 
D) within-groups error variation

Question 8

The sampling distribution of the F statistic is based on the assumption that the.

Accepted Answer

A) scores in the populations are normally distributed 
B) distribution of means in the populations is normally distributed 
C) modes of the populations are equal 
D) medians of the populations are equal 
A) scores in the populations are normally distributed 
B) distribution of means in the populations is normally distributed 
C) modes of the populations are equal 
D) medians of the populations are equal

Question 9

The rejection region for Fobs is of the sampling distribution of F.

Accepted Answer

A) always in the left tail 
B) always in the right tail 
C) in either tail 
D) in the middle 
A) always in the left tail 
B) always in the right tail 
C) in either tail 
D) in the middle

Question 10

Eta squared for a one-factor between-subjects analysis of variance is a measure of the.

Accepted Answer

A) power of a statistical test 
B) strength of effect of an independent variable 
C) amount of error variation within groups 
D) probability of making correct decisions about the statistical null and alternative hypotheses 
A) power of a statistical test 
B) strength of effect of an independent variable 
C) amount of error variation within groups 
D) probability of making correct decisions about the statistical null and alternative hypotheses

Question 11

Multiple comparison procedures typically make comparisons, that is, comparisons of two means at a time.

Accepted Answer

A) coupled 
B) double 
C) bilateral 
D) pairwise 
A) coupled 
B) double 
C) bilateral 
D) pairwise

Question 12

If you fail to reject H0 in a one-factor between-subjects analysis of variance, then you conclude that the.

Accepted Answer

A) variances of each group are equal 
B) means differ only because of sampling error 
C) variances of each group are not equal 
D) means differ by more than sampling error alone 
A) variances of each group are equal 
B) means differ only because of sampling error 
C) variances of each group are not equal 
D) means differ by more than sampling error alone

Question 13

The analysis of variance can assess.

Accepted Answer

A) the effects of an independent variable with two or more levels 
B) a dependent variable with three or more levels 
C) only studies with two levels of the independent variable 
D) data representing nominal measurement 
A) the effects of an independent variable with two or more levels 
B) a dependent variable with three or more levels 
C) only studies with two levels of the independent variable 
D) data representing nominal measurement

Question 14

In a one-factor between-subjects analysis of variance, measures only error variation of the scores within treatment conditions.

Accepted Answer

A) F 
B) MSError 
C) MSA 
D) the between-groups variance 
A) F 
B) MSError 
C) MSA 
D) the between-groups variance

Question 15

In a one-factor between-subjects design in which 50 participants are randomly assigned to one of five groups, there is (are) df for MSA.

Accepted Answer

A) 4 
B) 49 
C) 1 
D) 5 
A) 4 
B) 49 
C) 1 
D) 5

Question 16

The term is involved in the computation of SS in a one-factor $X - \bar { X } _ { A }$ between-subjects analysis of variance.

Accepted Answer

A) Total 
B) A 
C) Error 
D) Between-groups 
A) Total 
B) A 
C) Error 
D) Between-groups

Question 17

A MS is obtained in a one-factor between-subjects analysis of variance by.

Accepted Answer

A)  $s ^ { 2 } \div N$ 
B)  $s ^ { 2 } \div d f$ 
C)  $S S \div N$ 
D)  $S S \div d f$ 
A)  $s ^ { 2 } \div N$ 
B)  $s ^ { 2 } \div d f$ 
C)  $S S \div N$ 
D)  $S S \div d f$

Question 18

Thirty-six subjects were used in a one-factor between-subjects experiment with three levels of an independent variable. If the group sizes were equal, what is the value of N?

Accepted Answer

A) 36 
B) 12 
C) 3 
D) cannot tell from the 
A) 36 
B) 12 
C) 3 
D) cannot tell from the

Question 19

When computed from a one-factor between-subjects analysis of variance, η2 is defined as the sums of squares associated with the independent variable divided by the sums of squares for.

Accepted Answer

A) total 
B) total plus df for total 
C) error 
D) error plus the df for error 
A) total 
B) total plus df for total 
C) error 
D) error plus the df for error

Question 20

In a one-factor between-subjects analysis of variance, the total variation in scores is sorted into two sources:.

Accepted Answer

A) sums of squares and degrees of freedom 
B) between-groups variation and inter-groups variation 
C) between-groups and within-groups variation 
D) independent variation and common variation 
A) sums of squares and degrees of freedom 
B) between-groups variation and inter-groups variation 
C) between-groups and within-groups variation 
D) independent variation and common variation

In contrast to the analysis of variance, tind is limited because.

The effect of the independent variable is reflected in in a one-factor between-subjects analysis of variance.

If the results of an experiment using the one-factor between-subjects analysis of variance were summarized as F(2, 30) = 2.46, p > .05, then you would know that the number of levels of factor A was.

The SSA in a one-factor between-subjects analysis of variance represents the variation.

If you reject H0 in a one-factor between-subjects analysis of variance, then you conclude that the.

In a one-factor between-subjects analysis of variance, the mean square for factor A is also known as the variance.

The deviation represented by $X - \bar { X } _ { A }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

The sampling distribution of the F statistic is based on the assumption that the.

The rejection region for Fobs is of the sampling distribution of F.

Eta squared for a one-factor between-subjects analysis of variance is a measure of the.

Multiple comparison procedures typically make comparisons, that is, comparisons of two means at a time.

If you fail to reject H0 in a one-factor between-subjects analysis of variance, then you conclude that the.

The analysis of variance can assess.

In a one-factor between-subjects analysis of variance, measures only error variation of the scores within treatment conditions.

In a one-factor between-subjects design in which 50 participants are randomly assigned to one of five groups, there is (are) df for MSA.

The term is involved in the computation of SS in a one-factor $X - \bar { X } _ { A }$ between-subjects analysis of variance.

A MS is obtained in a one-factor between-subjects analysis of variance by.

Thirty-six subjects were used in a one-factor between-subjects experiment with three levels of an independent variable. If the group sizes were equal, what is the value of N?

When computed from a one-factor between-subjects analysis of variance, η2 is defined as the sums of squares associated with the independent variable divided by the sums of squares for.

In a one-factor between-subjects analysis of variance, the total variation in scores is sorted into two sources:.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

Exam 10: One-Factor Between-Subjects Analysis of Variance

In contrast to the analysis of variance, tind is limited because.

The effect of the independent variable is reflected in in a one-factor between-subjects analysis of variance.

If the results of an experiment using the one-factor between-subjects analysis of variance were summarized as F(2, 30) = 2.46, p > .05, then you would know that the number of levels of factor A was.

The SSA in a one-factor between-subjects analysis of variance represents the variation.

If you reject H0 in a one-factor between-subjects analysis of variance, then you conclude that the.

In a one-factor between-subjects analysis of variance, the mean square for factor A is also known as the variance.

The deviation represented by X−XˉAX - \bar { X } _ { A }X−XˉA​ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

The sampling distribution of the F statistic is based on the assumption that the.

The rejection region for Fobs is of the sampling distribution of F.

Eta squared for a one-factor between-subjects analysis of variance is a measure of the.

Multiple comparison procedures typically make comparisons, that is, comparisons of two means at a time.

If you fail to reject H0 in a one-factor between-subjects analysis of variance, then you conclude that the.

The analysis of variance can assess.

In a one-factor between-subjects analysis of variance, measures only error variation of the scores within treatment conditions.

In a one-factor between-subjects design in which 50 participants are randomly assigned to one of five groups, there is (are) df for MSA.

The term is involved in the computation of SS in a one-factor X−XˉAX - \bar { X } _ { A }X−XˉA​ between-subjects analysis of variance.

A MS is obtained in a one-factor between-subjects analysis of variance by.

Thirty-six subjects were used in a one-factor between-subjects experiment with three levels of an independent variable. If the group sizes were equal, what is the value of N?

When computed from a one-factor between-subjects analysis of variance, η2 is defined as the sums of squares associated with the independent variable divided by the sums of squares for.

In a one-factor between-subjects analysis of variance, the total variation in scores is sorted into two sources:.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

The deviation represented by $X - \bar { X } _ { A }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

The term is involved in the computation of SS in a one-factor $X - \bar { X } _ { A }$ between-subjects analysis of variance.