Question 1

A factorial ANOVA produces two F values.

Accepted Answer

A) True 
 B)False

Question 2

For the graph below, indicate whether the interaction and main effects (A and B) would likely be significant or not.

Accepted Answer

Factor A-not signifi

Question 3

A factorial ANOVA produces four F values.

Accepted Answer

A) True 
 B)False

Question 4

In common with one-way ANOVA, factorial ANOVA has the following assumptions:

Accepted Answer

A)  the dependent variable is assumed to be normally distributed 
B)  the population variances of all the populations sampled are equal 
C)  both a and b above 
D)  neither a nor b above 
A)  the dependent variable is assumed to be normally distributed 
B)  the population variances of all the populations sampled are equal 
C)  both a and b above 
D)  neither a nor b above

Question 5

Data Set 13-3:  
-Refer to Data Set 13-3. The figure for which the main effect of variable B is not significant is

Accepted Answer

A)  W 
B)  X 
C)  Y 
D)  Z 
E)  all of the other alternatives are correct. 
A)  W 
B)  X 
C)  Y 
D)  Z 
E)  all of the other alternatives are correct.

Question 6

An F test on an independent variable in a factorial ANOVA is called a main effect.

Accepted Answer

A) True 
 B)False

Question 7

In a factorial experiment, the sum of squares of A plus the sum of squares of B plus the sum of squares of AB is equal to

Accepted Answer

A)  SStot 
B)  SScells 
C)  SSerror 
D)  none of the other alternatives are correct. 
A)  SStot 
B)  SScells 
C)  SSerror 
D)  none of the other alternatives are correct.

Question 8

John runs the same three-mile route every day. If he takes his dog, it adds 25 seconds to his running time. If it is cold, it adds 10 seconds to his running time. Suppose he ran one cold morning with his dog. What change in his time would represent no interaction between the two variables (dog and temperature)?

Accepted Answer

A)  increase 10 seconds 
B)  increase 25 seconds 
C)  increase 35 seconds 
D)  decrease 15 seconds 
E)  none of the other alternatives are correct. 
A)  increase 10 seconds 
B)  increase 25 seconds 
C)  increase 35 seconds 
D)  decrease 15 seconds 
E)  none of the other alternatives are correct.

A factorial ANOVA produces two F values.

For the graph below, indicate whether the interaction and main effects (A and B) would likely be significant or not.

A factorial ANOVA produces four F values.

In common with one-way ANOVA, factorial ANOVA has the following assumptions:

Data Set 13-3: -Refer to Data Set 13-3. The figure for which the main effect of variable B is not significant is

An F test on an independent variable in a factorial ANOVA is called a main effect.

In a factorial experiment, the sum of squares of A plus the sum of squares of B plus the sum of squares of AB 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: One-Factor Repeated Measures

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Exam 13: Analysis of Variance: Factorial Design

A factorial ANOVA produces two F values.

For the graph below, indicate whether the interaction and main effects (A and B) would likely be significant or not.

A factorial ANOVA produces four F values.

In common with one-way ANOVA, factorial ANOVA has the following assumptions:

Data Set 13-3: -Refer to Data Set 13-3. The figure for which the main effect of variable B is not significant is

An F test on an independent variable in a factorial ANOVA is called a main effect.

In a factorial experiment, the sum of squares of A plus the sum of squares of B plus the sum of squares of AB 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: One-Factor Repeated Measures

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters