Question 1

F(2,21)= 45.00,p2 = .18.
According to the above F statement,the value computed for the F ratio is:

Accepted Answer

A) 2 
B) 21 
C) 45.00 
D) .18 
A) 2 
B) 21 
C) 45.00 
D) .18

Question 2

The F test is particularly robust to violations of the normality and homogeneity of variance assumptions when sample sizes are _____ and relatively _____.

Accepted Answer

A) unequal;large 
B) equal;large 
C) equal;small 
D) unequal;small 
A) unequal;large 
B) equal;large 
C) equal;small 
D) unequal;small

Question 3

In the modified Bonferroni procedure used for interaction comparisons,to be statistically significant,the largest F ratio must yield a p value

Accepted Answer

A) less than the overall alpha level divided by the total number of interaction comparisons. 
B) less than the overall alpha level divided by the total number of levels of factor A 
C) greater than the overall alpha level 
D) none of these 
A) less than the overall alpha level divided by the total number of interaction comparisons. 
B) less than the overall alpha level divided by the total number of levels of factor A 
C) greater than the overall alpha level 
D) none of these

Question 4

Factorial designs can be used to study

Accepted Answer

A) the joint effects of two dependent variables on an independent variable. 
B) the joint effects of two independent variables on a dependent variable. 
C) the effect of a single dependent variable with two or more levels on an independent variable 
D) the effect of a single independent variable with two or more levels on a dependent variable. 
A) the joint effects of two dependent variables on an independent variable. 
B) the joint effects of two independent variables on a dependent variable. 
C) the effect of a single dependent variable with two or more levels on an independent variable 
D) the effect of a single independent variable with two or more levels on a dependent variable.

Question 5

Discuss the robustness of the F tests in two-way analysis of variance.

Accepted Answer

For the F tests to be valid,it is import

Question 6

When examining a plot of population means for a two-way ANOVA,what should you conclude if the two lines completely overlap and have zero slope?

Accepted Answer

A) There is a main effect of A only. 
B) There is a main effect of B only. 
C) There is an interaction effect only. 
D) There are no main effects or an interaction. 
A) There is a main effect of A only. 
B) There is a main effect of B only. 
C) There is an interaction effect only. 
D) There are no main effects or an interaction.

Question 7

The strengths of the relationships for the three sources of between-group variability are assessed with:

Accepted Answer

A) eta 
B) r2 
C) F2 
D) eta-squared 
A) eta 
B) r2 
C) F2 
D) eta-squared

Question 8

If a factorial ANOVA is conducted and a statistically significant main effect is determined for a factor that has three or more levels,the nature of the relationship should be determined by ____.

Accepted Answer

A) inspecting the sample means 
B) calculating eta2 
C) calculating a between-groups ANOVA for the significant factor 
D) applying the Tukey HSD test 
A) inspecting the sample means 
B) calculating eta2 
C) calculating a between-groups ANOVA for the significant factor 
D) applying the Tukey HSD test

Question 9

The F test statistic for a main effect of factor A of a 2 x 2 factorial ANOVA is determined by which of the following formulas?

Accepted Answer

A) MSA/dfA 
B) MSA/SSA 
C) MSA/MSWITHIN GROUP 
D) SSA/dfWITHIN GROUP 
A) MSA/dfA 
B) MSA/SSA 
C) MSA/MSWITHIN GROUP 
D) SSA/dfWITHIN GROUP

Question 10

The sum of squares between in two-way analysis of variance is partitioned into three components: (1)variability due to the first independent variable, (2)variability due to the second independent variable,and (3)variability due to the interaction of the two independent variables.

Accepted Answer

A) True 
 B)False

Question 11

Discuss the analysis of main effects in terms of the nature of the relationship in two-way analysis of variance.

Accepted Answer

When a statistically significant main ef

Question 12

When dealing with population means,if the lines in a graph are _____,this suggests the presence of an interaction.

Accepted Answer

A) not parallel 
B) parallel 
C) curvilinear 
D) none of these 
A) not parallel 
B) parallel 
C) curvilinear 
D) none of these

Question 13

What are the assumptions of the F tests in two-way analysis of variance?

Accepted Answer

The F tests in a two-way between-subject

Question 14

In a two-way ANOVA,there are two ____________________,and one interaction.

Accepted Answer

The answer of In a two-way ANOVA,there are two ____________________,and...

Question 15

Note: The critical F value for degrees of freedom (1,76)is 3.96.
The test for the "main effect" of Variable B focuses on the difference between the _________.

Accepted Answer

A) marginal means 10.2 and 6.5 
B) marginal means 9.8 and 6.9 
C) cell means 12.1 and 7.5 
D) cell means 12.1 and 8.3 
A) marginal means 10.2 and 6.5 
B) marginal means 9.8 and 6.9 
C) cell means 12.1 and 7.5 
D) cell means 12.1 and 8.3

Question 16

The sum of squares between in a two-way between-subjects analysis of variance can be partitioned into:

Accepted Answer

A) SSA + SSB 
B) SSA + SSB + SSAxB 
C) SSA + SSERROR 
D) none of these 
A) SSA + SSB 
B) SSA + SSB + SSAxB 
C) SSA + SSERROR 
D) none of these

Question 17

If the cells of a 2 x 2 factorial-design have unequal numbers of subjects in them,then it is common to analyze the data using

Accepted Answer

A) simple main effects 
B) least-squares analysis 
C) split-plot analysis 
D) nonparametric analysis 
A) simple main effects 
B) least-squares analysis 
C) split-plot analysis 
D) nonparametric analysis

Question 18

Under what conditions is the two-way between-subjects analysis of variance used?

Accepted Answer

The conditions for using two-way between

Question 19

An interaction effect refers to the comparison of cell means in terms of whether the relationship between one of the independent variables and the dependent variable differs as a function of the other independent variable.

Accepted Answer

A) True 
 B)False

Question 20

The joint effects of two independent variables on a dependent variable can be studied using:

Accepted Answer

A) factorial designs 
B) one-way analysis of variance 
C) single-subject designs 
D) none of these 
A) factorial designs 
B) one-way analysis of variance 
C) single-subject designs 
D) none of these

F(2,21)= 45.00,p< .05,with eta² = .18. According to the above F statement,the value computed for the F ratio is:

The F test is particularly robust to violations of the normality and homogeneity of variance assumptions when sample sizes are _ and relatively _.

In the modified Bonferroni procedure used for interaction comparisons,to be statistically significant,the largest F ratio must yield a p value

Factorial designs can be used to study

Discuss the robustness of the F tests in two-way analysis of variance.

When examining a plot of population means for a two-way ANOVA,what should you conclude if the two lines completely overlap and have zero slope?

The strengths of the relationships for the three sources of between-group variability are assessed with:

If a factorial ANOVA is conducted and a statistically significant main effect is determined for a factor that has three or more levels,the nature of the relationship should be determined by ____.

The F test statistic for a main effect of factor A of a 2 x 2 factorial ANOVA is determined by which of the following formulas?

The sum of squares between in two-way analysis of variance is partitioned into three components: (1)variability due to the first independent variable, (2)variability due to the second independent variable,and (3)variability due to the interaction of the two independent variables.

Discuss the analysis of main effects in terms of the nature of the relationship in two-way analysis of variance.

When dealing with population means,if the lines in a graph are _____,this suggests the presence of an interaction.

What are the assumptions of the F tests in two-way analysis of variance?

In a two-way ANOVA,there are two ____________________,and one interaction.

Note: The critical F value for degrees of freedom (1,76)is 3.96. The test for the "main effect" of Variable B focuses on the difference between the _________.

The sum of squares between in a two-way between-subjects analysis of variance can be partitioned into:

If the cells of a 2 x 2 factorial-design have unequal numbers of subjects in them,then it is common to analyze the data using

Under what conditions is the two-way between-subjects analysis of variance used?

An interaction effect refers to the comparison of cell means in terms of whether the relationship between one of the independent variables and the dependent variable differs as a function of the other independent variable.

The joint effects of two independent variables on a dependent variable can be studied using:

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 17: Two-Way Between-Subjects Analysis of Variance

F(2,21)= 45.00,p< .05,with eta2 = .18. According to the above F statement,the value computed for the F ratio is:

The F test is particularly robust to violations of the normality and homogeneity of variance assumptions when sample sizes are _____ and relatively _____.

In the modified Bonferroni procedure used for interaction comparisons,to be statistically significant,the largest F ratio must yield a p value

Factorial designs can be used to study

Discuss the robustness of the F tests in two-way analysis of variance.

When examining a plot of population means for a two-way ANOVA,what should you conclude if the two lines completely overlap and have zero slope?

The strengths of the relationships for the three sources of between-group variability are assessed with:

If a factorial ANOVA is conducted and a statistically significant main effect is determined for a factor that has three or more levels,the nature of the relationship should be determined by ____.

The F test statistic for a main effect of factor A of a 2 x 2 factorial ANOVA is determined by which of the following formulas?

The sum of squares between in two-way analysis of variance is partitioned into three components: (1)variability due to the first independent variable, (2)variability due to the second independent variable,and (3)variability due to the interaction of the two independent variables.

Discuss the analysis of main effects in terms of the nature of the relationship in two-way analysis of variance.

When dealing with population means,if the lines in a graph are _____,this suggests the presence of an interaction.

What are the assumptions of the F tests in two-way analysis of variance?

In a two-way ANOVA,there are two ____________________,and one interaction.

Note: The critical F value for degrees of freedom (1,76)is 3.96. The test for the "main effect" of Variable B focuses on the difference between the _________.

The sum of squares between in a two-way between-subjects analysis of variance can be partitioned into:

If the cells of a 2 x 2 factorial-design have unequal numbers of subjects in them,then it is common to analyze the data using

Under what conditions is the two-way between-subjects analysis of variance used?

An interaction effect refers to the comparison of cell means in terms of whether the relationship between one of the independent variables and the dependent variable differs as a function of the other independent variable.

The joint effects of two independent variables on a dependent variable can be studied using:

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Overview and Extension: Statistical Tests for More Complex Designs

Filters

F(2,21)= 45.00,p< .05,with eta² = .18. According to the above F statement,the value computed for the F ratio is:

The F test is particularly robust to violations of the normality and homogeneity of variance assumptions when sample sizes are _ and relatively _.