Question 1

A one-factor repeated-measures ANOVA is like a one-way ANOVA with respect to

Accepted Answer

A)  the number of factors 
B)  the number of components that the total variance is partitioned into 
C)  its degree of efficiency 
D)  its power. 
A)  the number of factors 
B)  the number of components that the total variance is partitioned into 
C)  its degree of efficiency 
D)  its power.

Question 2

The F test for a one-factor repeated-measures ANOVA is a difference between means divided by a sum of squares.

Accepted Answer

A) True 
 B)False

Question 3

A one-factor repeated-measures ANOVA is like a paired-samples t test with respect to

Accepted Answer

A)  the number of independent variables 
B)  the number of dependent variables 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  the number of independent variables 
B)  the number of dependent variables 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 4

The advantages listed by your text for a repeated-measures ANOVA were

Accepted Answer

A)  accuracy and elegance 
B)  precision and adaptability 
C)  efficiency and power 
D)  simplicity and congruence 
A)  accuracy and elegance 
B)  precision and adaptability 
C)  efficiency and power 
D)  simplicity and congruence

Question 5

A one-factor repeated-measures ANOVA is like a one-way ANOVA with respect to

Accepted Answer

A)  number of factors 
B)  number of dependent variables 
C)  use of the F distribution 
D)  all of the other alternatives are correct. 
A)  number of factors 
B)  number of dependent variables 
C)  use of the F distribution 
D)  all of the other alternatives are correct.

Question 6

Based on the examples in the book and the problems you worked,

Accepted Answer

A)  resting 8 weeks between practice sessions (as compared to 2 weeks) improves recall 
B)  writing notes and comments on a multiple choice exam improves your score 
C)  meditation significantly reduces the amount of oxygen consumed 
D)  all of the other alternatives are correct. 
A)  resting 8 weeks between practice sessions (as compared to 2 weeks) improves recall 
B)  writing notes and comments on a multiple choice exam improves your score 
C)  meditation significantly reduces the amount of oxygen consumed 
D)  all of the other alternatives are correct.

Question 7

The F test for a one-factor repeated-measures ANOVA is a ratio of two variances.

Accepted Answer

A) True 
 B)False

Question 8

The F value obtained from the data is 3.75 based on 2 and 14 degrees of freedom. You should _________________the null hypothesis if $\alpha$= .05, even though you might be making a _________________ error.

Accepted Answer

A)  reject Type I 
B)  reject Type II 
C)  retain Type I 
D)  retain Type II 
A)  reject Type I 
B)  reject Type II 
C)  retain Type I 
D)  retain Type II

Question 9

Data Set 12-2: $$\begin{array} { c r r c r } 
\text { Subjects } & \mathrm { X } _ { 1 } & X _ { 2 } & X _ { 3 } & \Sigma \
\hline 1 & 1 & 6 & 3 & 10 \
2 & 2 & 7 & 5 & 14 \
\Sigma & 13 & 8 & 24 &
\end{array}$$
-In Data Set 12-2, MSerror is equal to

Accepted Answer

A)  0.167 
B)  0.333 
C)  1.500 
A)  0.167 
B)  0.333 
C)  1.500

Question 10

In a one-factor repeated-measures ANOVA, the between-subjects variability is discarded, which reduces the size of the error variability.

Accepted Answer

A) True 
 B)False

Question 11

A one-factor repeated-measures ANOVA is designed forindependent variable(s).

Accepted Answer

A)  1 
B)  2 
C)  many 
D)  any number depending on the number of levels of the independent variable. 
A)  1 
B)  2 
C)  many 
D)  any number depending on the number of levels of the independent variable.

Question 12

In a one-factor repeated-measures ANOVA, the between-subjects variability is discarded and not tested for significance.

Accepted Answer

A) True 
 B)False

Question 13

Data Set 12-6: CD : $$\begin{array} { c r r r r } 
\text { Subjects } & X _ { l } & X _ { 2 } & X _ { 3 } & \Sigma \
\hline 1 & 7 & 6 & 9 & 22 \
2 & 3 & 5 & 8 & 16 \
\hline \Sigma & 10 & 11 & 17 & 38
\end{array}$$
-In Data Set 12-6, SStot is equal to

Accepted Answer

A)  23.33 
B)  226.00 
C)  257.67 
A)  23.33 
B)  226.00 
C)  257.67

Question 14

An F value obtained from the data is 3.45 based on 2 and 20 degrees of freedom. You shouldthe null hypothesis if $\alpha$ = .05, even though you might be making a error.

Accepted Answer

A)  reject Type I 
B)  reject Type II 
C)  retain Type I 
D)  retain Type II 
A)  reject Type I 
B)  reject Type II 
C)  retain Type I 
D)  retain Type II

Question 15

A one-factor repeated-measures ANOVA is more like an independent-samples t test than a paired?samples t test.

Accepted Answer

A) True 
 B)False

Question 16

Data Set 12-2: $$\begin{array} { c r r c r } 
\text { Subjects } & \mathrm { X } _ { 1 } & X _ { 2 } & X _ { 3 } & \Sigma \
\hline 1 & 1 & 6 & 3 & 10 \
2 & 2 & 7 & 5 & 14 \
\Sigma & 13 & 8 & 24 &
\end{array}$$
-In Data Set 12-2, SStot, is equal to

Accepted Answer

A)  120.00 
B)  100.00 
C)  25.00 
D)  28.00 
A)  120.00 
B)  100.00 
C)  25.00 
D)  28.00

Question 17

A one-factor repeated-measures ANOVA is like a paired-samples t test with respect to

Accepted Answer

A)  the number of levels of the independent variable analyzed 
B)  the use of the F distribution to obtain probabilities 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  the number of levels of the independent variable analyzed 
B)  the use of the F distribution to obtain probabilities 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 18

A one-factor repeated-measures ANOVA can compare only two means.

Accepted Answer

A) True 
 B)False

Question 19

A one-factor repeated-measures ANOVA is more like a paired-samples t test than an independent-samples t test.

Accepted Answer

A) True 
 B)False

Question 20

Data Set 12-1: $$\begin{array} { c l l l r } 
\text { Subjects } & X _ { 1 } & X _ { 2 } & X _ { 3 } & \sum \
\hline 1 & 0 & 3 & 5 & 8 \
2 & 3 & 4 & 6 & 13 \
\hline \Sigma & 3 & 7 & 11 & 21
\end{array}$$
-In Data Set 12-1, MSerror is equal to

Accepted Answer

A)  4.34 
B)  1.33 
C)  2.08 
D)  0.67 
A)  4.34 
B)  1.33 
C)  2.08 
D)  0.67

A one-factor repeated-measures ANOVA is like a one-way ANOVA with respect to

The F test for a one-factor repeated-measures ANOVA is a difference between means divided by a sum of squares.

A one-factor repeated-measures ANOVA is like a paired-samples t test with respect to

The advantages listed by your text for a repeated-measures ANOVA were

A one-factor repeated-measures ANOVA is like a one-way ANOVA with respect to

Based on the examples in the book and the problems you worked,

The F test for a one-factor repeated-measures ANOVA is a ratio of two variances.

The F value obtained from the data is 3.75 based on 2 and 14 degrees of freedom. You should _the null hypothesis if $\alpha$ = .05, even though you might be making a _ error.

Data Set 12-2: Subjects \Sigma 1 1 6 3 10 2 2 7 5 14 \Sigma 13 8 24 -In Data Set 12-2, MS_erroris equal to

In a one-factor repeated-measures ANOVA, the between-subjects variability is discarded, which reduces the size of the error variability.

A one-factor repeated-measures ANOVA is designed forindependent variable(s).

In a one-factor repeated-measures ANOVA, the between-subjects variability is discarded and not tested for significance.

Data Set 12-6: CD : Subjects \Sigma 1 7 6 9 22 2 3 5 8 16 \Sigma 10 11 17 38 -In Data Set 12-6, SS_t_o_t is equal to

An F value obtained from the data is 3.45 based on 2 and 20 degrees of freedom. You shouldthe null hypothesis if $\alpha$ = .05, even though you might be making a error.

A one-factor repeated-measures ANOVA is more like an independent-samples t test than a paired?samples t test.

Data Set 12-2: Subjects \Sigma 1 1 6 3 10 2 2 7 5 14 \Sigma 13 8 24 -In Data Set 12-2, SS_tot, is equal to

A one-factor repeated-measures ANOVA is like a paired-samples t test with respect to

A one-factor repeated-measures ANOVA can compare only two means.

A one-factor repeated-measures ANOVA is more like a paired-samples t test than an independent-samples t test.

Data Set 12-1: Subjects 1 0 3 5 8 2 3 4 6 13 \Sigma 3 7 11 21 -In Data Set 12-1, MS_error is equal to

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Correlation and Regression

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing and Effect Size: One-Sample Designs

Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Exam 12: Analysis of Variance: One-Factor Repeated Measures

A one-factor repeated-measures ANOVA is like a one-way ANOVA with respect to

The F test for a one-factor repeated-measures ANOVA is a difference between means divided by a sum of squares.

A one-factor repeated-measures ANOVA is like a paired-samples t test with respect to

The advantages listed by your text for a repeated-measures ANOVA were

A one-factor repeated-measures ANOVA is like a one-way ANOVA with respect to

Based on the examples in the book and the problems you worked,

The F test for a one-factor repeated-measures ANOVA is a ratio of two variances.

The F value obtained from the data is 3.75 based on 2 and 14 degrees of freedom. You should _________________the null hypothesis if α\alphaα = .05, even though you might be making a _________________ error.

Data Set 12-2: Subjects \Sigma 1 1 6 3 10 2 2 7 5 14 \Sigma 13 8 24 -In Data Set 12-2, MSerror is equal to

In a one-factor repeated-measures ANOVA, the between-subjects variability is discarded, which reduces the size of the error variability.

A one-factor repeated-measures ANOVA is designed forindependent variable(s).

In a one-factor repeated-measures ANOVA, the between-subjects variability is discarded and not tested for significance.

Data Set 12-6: CD : Subjects \Sigma 1 7 6 9 22 2 3 5 8 16 \Sigma 10 11 17 38 -In Data Set 12-6, SStot is equal to

An F value obtained from the data is 3.45 based on 2 and 20 degrees of freedom. You shouldthe null hypothesis if α\alphaα = .05, even though you might be making a error.

A one-factor repeated-measures ANOVA is more like an independent-samples t test than a paired?samples t test.

Data Set 12-2: Subjects \Sigma 1 1 6 3 10 2 2 7 5 14 \Sigma 13 8 24 -In Data Set 12-2, SStot, is equal to

A one-factor repeated-measures ANOVA is like a paired-samples t test with respect to

A one-factor repeated-measures ANOVA can compare only two means.

A one-factor repeated-measures ANOVA is more like a paired-samples t test than an independent-samples t test.

Data Set 12-1: Subjects 1 0 3 5 8 2 3 4 6 13 \Sigma 3 7 11 21 -In Data Set 12-1, MSerror is equal to

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Correlation and Regression

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing and Effect Size: One-Sample Designs

Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

The F value obtained from the data is 3.75 based on 2 and 14 degrees of freedom. You should _the null hypothesis if $\alpha$ = .05, even though you might be making a _ error.

Data Set 12-2: Subjects \Sigma 1 1 6 3 10 2 2 7 5 14 \Sigma 13 8 24 -In Data Set 12-2, MS_erroris equal to

Data Set 12-6: CD : Subjects \Sigma 1 7 6 9 22 2 3 5 8 16 \Sigma 10 11 17 38 -In Data Set 12-6, SS_t_o_t is equal to

An F value obtained from the data is 3.45 based on 2 and 20 degrees of freedom. You shouldthe null hypothesis if $\alpha$ = .05, even though you might be making a error.

Data Set 12-2: Subjects \Sigma 1 1 6 3 10 2 2 7 5 14 \Sigma 13 8 24 -In Data Set 12-2, SS_tot, is equal to

Data Set 12-1: Subjects 1 0 3 5 8 2 3 4 6 13 \Sigma 3 7 11 21 -In Data Set 12-1, MS_error is equal to