Question 1

A repeated-measures ANOVA has SSwithin treatments = 26 and SSbetween subjects = 12.For this analysis,what is the value for SSerror?

Accepted Answer

A) 12 
B) 14 
C) 26 
D) 38 
A) 12 
B) 14 
C) 26 
D) 38

Question 2

For a repeated-measures study comparing three treatment conditions with a sample of n = 4 participants,what are the degrees of freedom for the repeated-measures F-ratio?

Accepted Answer

A) 2,6 
B) 2,9 
C) 2,11 
D) 3,11 
A) 2,6 
B) 2,9 
C) 2,11 
D) 3,11

Question 3

A repeated-measures ANOVA with n = 5 subjects has df within-treatment equal to 12.What is the value for dferror for this analysis?

Accepted Answer

A) 8 
B) 16 
C) 48 
D) Insufficient information to find dferror 
A) 8 
B) 16 
C) 48 
D) Insufficient information to find dferror

Question 4

In a repeated-measures ANOVA,the variability within treatments is divided into two components.What are they?

Accepted Answer

A) Between subjects and error 
B) Between subjects and between treatments 
C) Between treatments and error 
D) Total variability and error 
A) Between subjects and error 
B) Between subjects and between treatments 
C) Between treatments and error 
D) Total variability and error

Question 5

For a two-factor experiment with 2 levels of factor A and 3 levels of factor B and n = 10 subjects in each treatment condition,how many participants are in each level of factor A?

Accepted Answer

A) 10 
B) 20 
C) 30 
D) 60 
A) 10 
B) 20 
C) 30 
D) 60

Question 6

A two-factor ANOVA produces an F-ratio for factor A with df = 1,36 and an F-ratio for factor B with df = 2,36.Which of the following describes the experiment producing these F-ratios?

Accepted Answer

A) 1 level of factor A and 2 levels of factor B 
B) 2 levels of factor A and 3 levels of factor B 
C) 2 levels for both factors 
D) 3 levels for both factors 
A) 1 level of factor A and 2 levels of factor B 
B) 2 levels of factor A and 3 levels of factor B 
C) 2 levels for both factors 
D) 3 levels for both factors

Question 7

The result of a repeated-measures ANOVA stated that F(3,21)= 4.57,p < .05.The study used a sample of n = 7 participants.

Accepted Answer

A) True 
 B)False

Question 8

For a repeated-measures design,the differences between treatments may be caused by a treatment effect or by sampling error (random factors),but they cannot be caused by individual differences.

Accepted Answer

A) True 
 B)False

Question 9

A researcher reports an F-ratio with df = 2,40 from a repeated-measures ANOVA.How many treatment conditions were compared in this experiment?

Accepted Answer

A) 2 
B) 3 
C) 4 
D) 41 
A) 2 
B) 3 
C) 4 
D) 41

Question 10

In the second stage of the repeated-measures ANOVA,individual differences are removed from the denominator of the F-ratio.

Accepted Answer

A) True 
 B)False

Question 11

In the first stage of a repeated-measures ANOVA,total degrees of freedom is partitioned into _________________.

Accepted Answer

A) error df and between subjects df 
B) within treatments df and between subjects df 
C) between treatments df and between subjects df 
D) between treatments df and within treatments df 
A) error df and between subjects df 
B) within treatments df and between subjects df 
C) between treatments df and between subjects df 
D) between treatments df and within treatments df

Question 12

In an independent-measures ANOVA,individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA,what happens to the individual differences in the denominator of the F-ratio?

Accepted Answer

A) They do not exist because the same individuals participate in all of the treatments. 
B) They are measured and subtracted out in the second stage of the analysis. 
C) Individual differences contribute to the variance in the denominator. 
D) None of the other options accurately describes individual differences in the denominator. 
A) They do not exist because the same individuals participate in all of the treatments. 
B) They are measured and subtracted out in the second stage of the analysis. 
C) Individual differences contribute to the variance in the denominator. 
D) None of the other options accurately describes individual differences in the denominator.

Question 13

A repeated-measures t test produces a t statistic of t = 4.00 with df = 12.If the same data were evaluated with a repeated-measures ANOVA,the F-ratio would have df = 2,12.

Accepted Answer

A) True 
 B)False

Question 14

The results of a two-factor analysis of variance produce df = 2,36 for the F-ratio for factor A and df = 2,36 for the F-ratio for factor B.What are the df values for the AxB interaction?

Accepted Answer

A) 1,36 
B) 2,36 
C) 3,36 
D) 4,36 
A) 1,36 
B) 2,36 
C) 3,36 
D) 4,36

Question 15

The results from a two-factor analysis of variance show a significant main effect for factor A and a significant main effect for factor B.Based on this information,what can you conclude about the interaction?

Accepted Answer

A) There must by a significant interaction 
B) There probably is a significant interaction 
C) The interaction cannot be significant 
D) You cannot make any conclusion about the significance of the interaction 
A) There must by a significant interaction 
B) There probably is a significant interaction 
C) The interaction cannot be significant 
D) You cannot make any conclusion about the significance of the interaction

Question 16

A repeated-measures ANOVA produced an F-ratio of F = 4.00 with df = 1,14.If the same data were analyzed with a repeated-measures t test,what value would be obtained for the t statistic?

Accepted Answer

A) 2 
B) 4 
C) 16 
D) Cannot determine without more information 
A) 2 
B) 4 
C) 16 
D) Cannot determine without more information

Question 17

A new laundry detergent is supposed to be equally superior to the leading brand in both hot and cold water.If the new detergent works as predicted,then there should be an interaction between the brand of detergent and the temperature of the water.

Accepted Answer

A) True 
 B)False

Question 18

For an experiment involving 3 levels of factor A and 3 levels of factor B,with a sample of n = 8 in each treatment condition,what are the df values for the F-ratio for the AxB interaction?

Accepted Answer

A) 2,63 
B) 4,63 
C) 6,63 
D) 8,63 
A) 2,63 
B) 4,63 
C) 6,63 
D) 8,63

Question 19

Obtaining a significant interaction means that both factors A and B have significant main effects.

Accepted Answer

A) True 
 B)False

Question 20

The F-ratio for a repeated-measures ANOVA has df = 2,16.The research study compared 3 treatments with a sample of n = 8 participants.

Accepted Answer

A) True 
 B)False

A repeated-measures ANOVA has SS_{within treatments}= 26 and SS_{between subjects} = 12.For this analysis,what is the value for SS_error?

For a repeated-measures study comparing three treatment conditions with a sample of n = 4 participants,what are the degrees of freedom for the repeated-measures F-ratio?

A repeated-measures ANOVA with n = 5 subjects has df within-treatment equal to 12.What is the value for df_error for this analysis?

In a repeated-measures ANOVA,the variability within treatments is divided into two components.What are they?

For a two-factor experiment with 2 levels of factor A and 3 levels of factor B and n = 10 subjects in each treatment condition,how many participants are in each level of factor A?

A two-factor ANOVA produces an F-ratio for factor A with df = 1,36 and an F-ratio for factor B with df = 2,36.Which of the following describes the experiment producing these F-ratios?

The result of a repeated-measures ANOVA stated that F(3,21)= 4.57,p < .05.The study used a sample of n = 7 participants.

For a repeated-measures design,the differences between treatments may be caused by a treatment effect or by sampling error (random factors),but they cannot be caused by individual differences.

A researcher reports an F-ratio with df = 2,40 from a repeated-measures ANOVA.How many treatment conditions were compared in this experiment?

In the second stage of the repeated-measures ANOVA,individual differences are removed from the denominator of the F-ratio.

In the first stage of a repeated-measures ANOVA,total degrees of freedom is partitioned into _________________.

In an independent-measures ANOVA,individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA,what happens to the individual differences in the denominator of the F-ratio?

A repeated-measures t test produces a t statistic of t = 4.00 with df = 12.If the same data were evaluated with a repeated-measures ANOVA,the F-ratio would have df = 2,12.

The results of a two-factor analysis of variance produce df = 2,36 for the F-ratio for factor A and df = 2,36 for the F-ratio for factor B.What are the df values for the AxB interaction?

The results from a two-factor analysis of variance show a significant main effect for factor A and a significant main effect for factor B.Based on this information,what can you conclude about the interaction?

A repeated-measures ANOVA produced an F-ratio of F = 4.00 with df = 1,14.If the same data were analyzed with a repeated-measures t test,what value would be obtained for the t statistic?

A new laundry detergent is supposed to be equally superior to the leading brand in both hot and cold water.If the new detergent works as predicted,then there should be an interaction between the brand of detergent and the temperature of the water.

For an experiment involving 3 levels of factor A and 3 levels of factor B,with a sample of n = 8 in each treatment condition,what are the df values for the F-ratio for the AxB interaction?

Obtaining a significant interaction means that both factors A and B have significant main effects.

The F-ratio for a repeated-measures ANOVA has df = 2,16.The research study compared 3 treatments with a sample of n = 8 participants.

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Probability and Samples:

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Correlation and Regression

Chi-Square Tests

Filters

Exam 13: Repeated-Measures and Two-Factor Anova

A repeated-measures ANOVA has SSwithin treatments = 26 and SSbetween subjects = 12.For this analysis,what is the value for SSerror?

For a repeated-measures study comparing three treatment conditions with a sample of n = 4 participants,what are the degrees of freedom for the repeated-measures F-ratio?

A repeated-measures ANOVA with n = 5 subjects has df within-treatment equal to 12.What is the value for dferror for this analysis?

In a repeated-measures ANOVA,the variability within treatments is divided into two components.What are they?

For a two-factor experiment with 2 levels of factor A and 3 levels of factor B and n = 10 subjects in each treatment condition,how many participants are in each level of factor A?

A two-factor ANOVA produces an F-ratio for factor A with df = 1,36 and an F-ratio for factor B with df = 2,36.Which of the following describes the experiment producing these F-ratios?

The result of a repeated-measures ANOVA stated that F(3,21)= 4.57,p < .05.The study used a sample of n = 7 participants.

For a repeated-measures design,the differences between treatments may be caused by a treatment effect or by sampling error (random factors),but they cannot be caused by individual differences.

A researcher reports an F-ratio with df = 2,40 from a repeated-measures ANOVA.How many treatment conditions were compared in this experiment?

In the second stage of the repeated-measures ANOVA,individual differences are removed from the denominator of the F-ratio.

In the first stage of a repeated-measures ANOVA,total degrees of freedom is partitioned into _________________.

In an independent-measures ANOVA,individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA,what happens to the individual differences in the denominator of the F-ratio?

A repeated-measures t test produces a t statistic of t = 4.00 with df = 12.If the same data were evaluated with a repeated-measures ANOVA,the F-ratio would have df = 2,12.

The results of a two-factor analysis of variance produce df = 2,36 for the F-ratio for factor A and df = 2,36 for the F-ratio for factor B.What are the df values for the AxB interaction?

The results from a two-factor analysis of variance show a significant main effect for factor A and a significant main effect for factor B.Based on this information,what can you conclude about the interaction?

A repeated-measures ANOVA produced an F-ratio of F = 4.00 with df = 1,14.If the same data were analyzed with a repeated-measures t test,what value would be obtained for the t statistic?

A new laundry detergent is supposed to be equally superior to the leading brand in both hot and cold water.If the new detergent works as predicted,then there should be an interaction between the brand of detergent and the temperature of the water.

For an experiment involving 3 levels of factor A and 3 levels of factor B,with a sample of n = 8 in each treatment condition,what are the df values for the F-ratio for the AxB interaction?

Obtaining a significant interaction means that both factors A and B have significant main effects.

The F-ratio for a repeated-measures ANOVA has df = 2,16.The research study compared 3 treatments with a sample of n = 8 participants.

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Probability and Samples:

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Correlation and Regression

Chi-Square Tests

Filters

A repeated-measures ANOVA has SS_{within treatments}= 26 and SS_{between subjects} = 12.For this analysis,what is the value for SS_error?

A repeated-measures ANOVA with n = 5 subjects has df within-treatment equal to 12.What is the value for df_error for this analysis?