Question 1

The designs analyzed in Chapter 11 called for the samples to be

Accepted Answer

A)  independent, as described for the independent-measures t test 
B)  related, as described for the paired-measures t test 
C)  either of the descriptive alternatives. 
A)  independent, as described for the independent-measures t test 
B)  related, as described for the paired-measures t test 
C)  either of the descriptive alternatives.

Question 2

An F distribution is a

Accepted Answer

A)  normal distribution 
B)  t distribution 
C)  sampling distribution 
D)  none descriptive alternatives are correct. 
A)  normal distribution 
B)  t distribution 
C)  sampling distribution 
D)  none descriptive alternatives are correct.

Question 3

The actual amount of difference the independent variable makes is most closely associated with

Accepted Answer

A)  whether or not to use hypothesis testing 
B)  assumptions of ANOVA 
C)  effect size 
D)  .05 or .01$\alpha$level. 
A)  whether or not to use hypothesis testing 
B)  assumptions of ANOVA 
C)  effect size 
D)  .05 or .01$\alpha$level.

Question 4

The techniques of Chapter 11 are not appropriate if the data come from

Accepted Answer

A)  a paired-samples design 
B)  populations that do not have the same mean 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  a paired-samples design 
B)  populations that do not have the same mean 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 5

Solomon Asch's experiments are classic in the social psychology area of conformity. Asch had under-graduate participants choose which of three lines matched a standard line. Each participant made 18 judgments in the presence of 1, 2, or 4 other "participants" (who announced their judgments first). These other "participants"were confederates of Asch who made incorrect judgments on 12 of the trials. The scores below give the number of times a participant conformed to the others by joining them with incorrect matches. Perform an ANOVA, compose a summary table, find f, and compare the two-and four-confederate conditions with a Tukey HSD and d. Tell the story of what your analysis shows. $$\begin{array}{l}
\text { Number of confederates }\
\begin{array} { c c c } 
\text { One } & \text { Two } & \text { Four } \
\hline 0 & 0 & 2 \
2 & 2 & 2 \
0 & 0 & 7 \
0 & 3 & 5 \
1 & 4 & 6 \
& 2 & 4 \
& & 4
\end{array}
\end{array}$$

Accepted Answer

The number of confederates (that is, the

Question 6

Which of the following is true?

Accepted Answer

A)  dftot = K - 1 
B)  dferror = K - 1 
C)  dftreat = Ntot - K 
D)  none of the descriptive alternatives are correct. 
A)  dftot = K - 1 
B)  dferror = K - 1 
C)  dftreat = Ntot - K 
D)  none of the descriptive alternatives are correct.

Question 7

A group of 36 subjects was equally divided into 3 groups. A Tukey HSD produced a value that led to the conclusion that Mean 1 was significantly larger than Mean 2, p < .05. Which of the following situations would lead to such a conclusion?

Accepted Answer

A)  $\bar { X } _ { 1 } = 9 , \bar { X } _ { 2 } = 2 , M S _ { \text {error } } = 50$ 
B)  $\bar { X } _ { 1 } = 24 , \bar { X } _ { 2 } = 14 , M S _ { \text {error } } = 84$ 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives are correct. 
A)  $\bar { X } _ { 1 } = 9 , \bar { X } _ { 2 } = 2 , M S _ { \text {error } } = 50$ 
B)  $\bar { X } _ { 1 } = 24 , \bar { X } _ { 2 } = 14 , M S _ { \text {error } } = 84$ 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives are correct.

Question 8

To distribute the effect of extraneous variables equally among treatments, you should

Accepted Answer

A)  use random assignment of participants to conditions 
B)  have distributions that are about normal 
C)  have variances that are about equal 
D)  all of the descriptive alternatives are correct. 
A)  use random assignment of participants to conditions 
B)  have distributions that are about normal 
C)  have variances that are about equal 
D)  all of the descriptive alternatives are correct.

Question 9

MSerror is a good estimator of $\sigma$2 when the null hypothesis is true.

Accepted Answer

A) True 
 B)False

Question 10

Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
  
-Refer to Data Set 11-4. The denominator of the F ratio would be largest for an ANOVA in Experiment

Accepted Answer

A)  X 
B)  Y 
C)  Z 
D) Y and Z 
A)  X 
B)  Y 
C)  Z 
D) Y and Z

Question 11

The person responsible for developing analysis of variance was Karl Pearson.

Accepted Answer

A) True 
 B)False

Question 12

A group of 52 participants was divided equally into 4 groups. A Tukey HSD produced a value that led to the conclusion that Mean 1 was significantly larger than Mean 2, p < .05. Which of the following situations would lead to such a conclusion?

Accepted Answer

A)  $\bar { X } _ { 1 } = 10.9 , \bar { X } _ { 2 } = 6.1 , M S _ { \text {error } } = 20$ 
B)  $\bar { X } _ { 1 } = 152 , \bar { X } _ { 2 } = 140 ; M S _ { \text {error } } = 130$ 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  $\bar { X } _ { 1 } = 10.9 , \bar { X } _ { 2 } = 6.1 , M S _ { \text {error } } = 20$ 
B)  $\bar { X } _ { 1 } = 152 , \bar { X } _ { 2 } = 140 ; M S _ { \text {error } } = 130$ 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 13

After an ANOVA is calculated and the group means examined, a post hoc test is appropriate.

Accepted Answer

A) True 
 B)False

Question 14

According to the data analyzed and interpreted by your text, the effect of different schedules of reinforcement is to produce different

Accepted Answer

A)  speeds of learning during training 
B)  degrees of persistence during extinction 
C)  degrees of forgetting over time 
D)  rates of responding when a maze-learning task is introduced for the first time. 
A)  speeds of learning during training 
B)  degrees of persistence during extinction 
C)  degrees of forgetting over time 
D)  rates of responding when a maze-learning task is introduced for the first time.

Question 15

Data Set 11-8: $$\begin{array} { c c c } 
\text { Group A } & \text { Group B } & \text { Group C } \
\hline 8 & 5 & 1 \
10 & 10 & 10 \
12 & 15 & 19
\end{array}$$
-Suppose you performed HSD tests on the means of the groups in Data Set 11-8. The HSD values would be

Accepted Answer

A)  all about equal and not significant 
B)  all about equal and significant 
C)  equal for two comparisons and larger for the other 
D)  equal for two comparisons and smaller for the other. 
A)  all about equal and not significant 
B)  all about equal and significant 
C)  equal for two comparisons and larger for the other 
D)  equal for two comparisons and smaller for the other.

Question 16

is credited with developing analysis of variance.

Accepted Answer

A)  R. A. Fisher 
B)  George Snedecor 
C)  William S. Gosset ("student") 
D)  Karl Pearson. 
A)  R. A. Fisher 
B)  George Snedecor 
C)  William S. Gosset ("student") 
D)  Karl Pearson.

Question 17

A sum of squares divided by degrees of freedom is a mean square.

Accepted Answer

A) True 
 B)False

Question 18

Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
  
-Refer to Data Set 11-1. The null hypothesis is true in Experiment

Accepted Answer

A)  X 
B)  Y 
C)  Z 
A)  X 
B)  Y 
C)  Z

Question 19

Suppose the following F values were calculated from different experiments. If $\alpha$ = .01, which of them would lead to rejection of the null hypothesis?

Accepted Answer

A)  F = 18.50, df = 2,2 
B)  F = 2.55, df = 10,17 
C)  F = 2.41, df = 20,42 
D)  none of the descriptive alternatives are correct. 
A)  F = 18.50, df = 2,2 
B)  F = 2.55, df = 10,17 
C)  F = 2.41, df = 20,42 
D)  none of the descriptive alternatives are correct.

Question 20

Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book).
  
-Refer to Data Set 11-2. The null hypothesis should be rejected for an ANOVA on Experiment

Accepted Answer

A)  X 
B)  Y 
C)  Z 
A)  X 
B)  Y 
C)  Z

The designs analyzed in Chapter 11 called for the samples to be

An F distribution is a

The actual amount of difference the independent variable makes is most closely associated with

The techniques of Chapter 11 are not appropriate if the data come from

Which of the following is true?

A group of 36 subjects was equally divided into 3 groups. A Tukey HSD produced a value that led to the conclusion that Mean 1 was significantly larger than Mean 2, p < .05. Which of the following situations would lead to such a conclusion?

To distribute the effect of extraneous variables equally among treatments, you should

MS_error is a good estimator of $\sigma$ ² when the null hypothesis is true.

Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book). -Refer to Data Set 11-4. The denominator of the F ratio would be largest for an ANOVA in Experiment

The person responsible for developing analysis of variance was Karl Pearson.

A group of 52 participants was divided equally into 4 groups. A Tukey HSD produced a value that led to the conclusion that Mean 1 was significantly larger than Mean 2, p < .05. Which of the following situations would lead to such a conclusion?

After an ANOVA is calculated and the group means examined, a post hoc test is appropriate.

According to the data analyzed and interpreted by your text, the effect of different schedules of reinforcement is to produce different

Data Set 11-8: Group A Group B Group C 8 5 1 10 10 10 12 15 19 -Suppose you performed HSD tests on the means of the groups in Data Set 11-8. The HSD values would be

is credited with developing analysis of variance.

A sum of squares divided by degrees of freedom is a mean square.

Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book). -Refer to Data Set 11-1. The null hypothesis is true in Experiment

Suppose the following F values were calculated from different experiments. If $\alpha$ = .01, which of them would lead to rejection of the null hypothesis?

Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book). -Refer to Data Set 11-2. The null hypothesis should be rejected for an ANOVA on Experiment

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-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Exam 11: Analysis of Variance: One-Way Classification

The designs analyzed in Chapter 11 called for the samples to be

An F distribution is a

The actual amount of difference the independent variable makes is most closely associated with

The techniques of Chapter 11 are not appropriate if the data come from

Which of the following is true?

A group of 36 subjects was equally divided into 3 groups. A Tukey HSD produced a value that led to the conclusion that Mean 1 was significantly larger than Mean 2, p < .05. Which of the following situations would lead to such a conclusion?

To distribute the effect of extraneous variables equally among treatments, you should

MSerror is a good estimator of σ\sigmaσ 2 when the null hypothesis is true.

Data Set 11-4: The baseline of each curve represents scores on the dependent variable (just like the curves in the book). -Refer to Data Set 11-4. The denominator of the F ratio would be largest for an ANOVA in Experiment

The person responsible for developing analysis of variance was Karl Pearson.

A group of 52 participants was divided equally into 4 groups. A Tukey HSD produced a value that led to the conclusion that Mean 1 was significantly larger than Mean 2, p < .05. Which of the following situations would lead to such a conclusion?

After an ANOVA is calculated and the group means examined, a post hoc test is appropriate.

According to the data analyzed and interpreted by your text, the effect of different schedules of reinforcement is to produce different

Data Set 11-8: Group A Group B Group C 8 5 1 10 10 10 12 15 19 -Suppose you performed HSD tests on the means of the groups in Data Set 11-8. The HSD values would be

is credited with developing analysis of variance.

A sum of squares divided by degrees of freedom is a mean square.

Data Set 11-1: The baseline of each curve represents scores on the dependent variable (just like the curves in the book). -Refer to Data Set 11-1. The null hypothesis is true in Experiment

Suppose the following F values were calculated from different experiments. If α\alphaα = .01, which of them would lead to rejection of the null hypothesis?

Data Set 11-2: The baseline of each curve represents scores on the dependent variable (just like the curves in the book). -Refer to Data Set 11-2. The null hypothesis should be rejected for an ANOVA on Experiment

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-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

MS_error is a good estimator of $\sigma$ ² when the null hypothesis is true.

Suppose the following F values were calculated from different experiments. If $\alpha$ = .01, which of them would lead to rejection of the null hypothesis?