Question 1

Calculate the F-ratio for the A * B interaction effect (FA x B).

Accepted Answer

A)  3.97 
B)  9.81 
C)  12.26 
D)  48.73 
A)  3.97 
B)  9.81 
C)  12.26 
D)  48.73

Question 2

What is R2A? SSA = 10.64; SSB = 8.93; SSA  x B = 15.15; SST = 49.56.

Accepted Answer

A)  2.14 
B)  .31 
C)  .18 
D)  .21 
A)  2.14 
B)  .31 
C)  .18 
D)  .21

Question 3

After calculating the marginal means in the table below, which variable has a significant main effect? (assume any difference between the means implies the main effect is significant)

Accepted Answer

A)  Gender 
B)  crime area 
C)  both gender and crime area 
D)  neither gender or crime area 
A)  Gender 
B)  crime area 
C)  both gender and crime area 
D)  neither gender or crime area

Question 4

If FA = 3.66 > 3.40, the researcher would ______.

Accepted Answer

A)  reject H0 (p  .05) 
C)  reject H0 (p < .01) 
D)  not reject H0 (p < .05) 
A)  reject H0 (p  .05) 
C)  reject H0 (p < .01) 
D)  not reject H0 (p < .05)

Question 5

Marginal means are the means ______.

Accepted Answer

A)  of the dependent variable for a particular combination of independent variables 
B)  in a table that represent a main effect 
C)  of the independent variables 
D)  in a table that represent a simple effect 
A)  of the dependent variable for a particular combination of independent variables 
B)  in a table that represent a main effect 
C)  of the independent variables 
D)  in a table that represent a simple effect

Question 6

Which of the following is an advantage of using factorial designs versus single-factor designs?

Accepted Answer

A)  Factorial designs allow researchers to determine whether interaction effects are present among independent variables. 
B)  The interpretation of factorial designs is simplified by the presence or absence of interaction effects. 
C)  Testing and interpreting effects in a factorial research design is less complicated than single-factor designs. 
D)  Factorial designs allow for test the significance of each dependent variable separately from the others. 
A)  Factorial designs allow researchers to determine whether interaction effects are present among independent variables. 
B)  The interpretation of factorial designs is simplified by the presence or absence of interaction effects. 
C)  Testing and interpreting effects in a factorial research design is less complicated than single-factor designs. 
D)  Factorial designs allow for test the significance of each dependent variable separately from the others.

Question 7

For α = .05 and df = 1,25, what is the critical value?

Accepted Answer

A)  4.08 
B)  4.24 
C)  3.38 
D)  2.92 
A)  4.08 
B)  4.24 
C)  3.38 
D)  2.92

Question 8

In a two way ANOVA, how many effects (main effects and interaction) are tested?

Accepted Answer

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

Question 9

Use the following table for the next nine questions 
  
-What is the marginal mean for Saturday?

Accepted Answer

A)  1.75 
B)  1.60 
C)  1.45 
D)  1.25 
A)  1.75 
B)  1.60 
C)  1.45 
D)  1.25

Question 10

Calculate the F-ratio for main effect of factor A (FA).

Accepted Answer

A)  3.97 
B)  9.81 
C)  12.26 
D)  48.73 
A)  3.97 
B)  9.81 
C)  12.26 
D)  48.73

Question 11

Use the following table for the next nine questions 
  
-What is the marginal mean for Wednesday?

Accepted Answer

A)  .90 
B)  1.75 
C)  1.45 
D)  1.55 
A)  .90 
B)  1.75 
C)  1.45 
D)  1.55

Calculate the F-ratio for the A * B interaction effect (FA _x B).

What is R²A? SSA = 10.64; SSB = 8.93; SSA _x B = 15.15; SST = 49.56.

After calculating the marginal means in the table below, which variable has a significant main effect? (assume any difference between the means implies the main effect is significant)

If FA = 3.66 > 3.40, the researcher would ______.

Marginal means are the means ______.

Which of the following is an advantage of using factorial designs versus single-factor designs?

For α = .05 and df = 1,25, what is the critical value?

In a two way ANOVA, how many effects (main effects and interaction) are tested?

Use the following table for the next nine questions -What is the marginal mean for Saturday?

Calculate the F-ratio for main effect of factor A (FA).

Use the following table for the next nine questions -What is the marginal mean for Wednesday?

Introduction to Statistics

Examining Data: Tables and Figures

Measures of Central Tendency

Measures of Variability

Normal Distributions

Probability and Hypothesis Testing

Testing One Sample Mean

Estimating the Mean of a Population

Testing the Difference Between Two Means

Errors in Hypothesis Testing, Statistical Power, and Effect Size

One-Way Analysis of Variance Anova

Correlation

Linear Regression and Multiple Correlation

Chi-Square

Filters

Exam 12: Two-Way Analysis of Variance Anova

Calculate the F-ratio for the A * B interaction effect (FA x B).

What is R2A? SSA = 10.64; SSB = 8.93; SSA x B = 15.15; SST = 49.56.

After calculating the marginal means in the table below, which variable has a significant main effect? (assume any difference between the means implies the main effect is significant)

If FA = 3.66 > 3.40, the researcher would ______.

Marginal means are the means ______.

Which of the following is an advantage of using factorial designs versus single-factor designs?

For α = .05 and df = 1,25, what is the critical value?

In a two way ANOVA, how many effects (main effects and interaction) are tested?

Use the following table for the next nine questions -What is the marginal mean for Saturday?

Calculate the F-ratio for main effect of factor A (FA).

Use the following table for the next nine questions -What is the marginal mean for Wednesday?

Introduction to Statistics

Examining Data: Tables and Figures

Measures of Central Tendency

Measures of Variability

Normal Distributions

Probability and Hypothesis Testing

Testing One Sample Mean

Estimating the Mean of a Population

Testing the Difference Between Two Means

Errors in Hypothesis Testing, Statistical Power, and Effect Size

One-Way Analysis of Variance Anova

Correlation

Linear Regression and Multiple Correlation

Chi-Square

Filters

Calculate the F-ratio for the A * B interaction effect (FA _x B).

What is R²A? SSA = 10.64; SSB = 8.93; SSA _x B = 15.15; SST = 49.56.