Question 1

When we speak about error variance in the analysis of variance we are speaking of

Accepted Answer

A)  differences between subjects in the same group. 
B)  differences between subjects in different groups. 
C)  the overall variability of scores in the experiment. 
D)  the misrecording of data. 
A)  differences between subjects in the same group. 
B)  differences between subjects in different groups. 
C)  the overall variability of scores in the experiment. 
D)  the misrecording of data.

Question 2

When we run a one-way ANOVA with four groups and obtain a significant F , the best effect-size measure to convey what that result tells us is

Accepted Answer

A)    . 
B)  η2. 
C)  w  2 . 
D)  all of the above 
A)    . 
B)  η2. 
C)  w  2 . 
D)  all of the above

Question 3

Which of the following is not a multiple comparison procedure we have discussed in class or seen in the texts.

Accepted Answer

A)  Fisher's LSD test. 
B)  The Stroop test. 
C)  The Bonferroni test. 
D)  The Newman-Keuls test. 
A)  Fisher's LSD test. 
B)  The Stroop test. 
C)  The Bonferroni test. 
D)  The Newman-Keuls test.

Question 4

Calculate η2 and ω 2 for the previous problem.

Accepted Answer

Question 5

The following analysis of variance summary table applies to the next several questions.
 
How many subjects were there in this experiment?

Accepted Answer

A)  100 
B)  95 
C)  93 
D)  92 
A)  100 
B)  95 
C)  93 
D)  92

Question 6

We want to compare the scores of different groups on a measure of reaction time. Three different groups were studied: patients with recent head injuries, patients with head injuries that occurred a year ago, and a control group of non-injured people. We want to know which group of people has the fastest reaction time. What is the best statistical test to use to find this out?

Accepted Answer

A)  one way ANOVA 
B)  factorial ANOVA 
C)  paired samples t-test 
D)  correlation 
A)  one way ANOVA 
B)  factorial ANOVA 
C)  paired samples t-test 
D)  correlation

Question 7

In the analysis of variance, MSerror is

Accepted Answer

A)  the average of the between group variances. 
B)  the average of the between group sums of squares. 
C)  the sum of squares of the within group variances. 
D)  the average of the within group variances. 
A)  the average of the between group variances. 
B)  the average of the between group sums of squares. 
C)  the sum of squares of the within group variances. 
D)  the average of the within group variances.

Question 8

Mean squares are closest to

Accepted Answer

A)  means. 
B)  variances. 
C)  standard deviations. 
D)  F s. 
A)  means. 
B)  variances. 
C)  standard deviations. 
D)  F s.

Question 9

The following analysis of variance summary table applies to the next several questions.
 
In the experiment whose summary table is given above, the average standard deviation in each of the groups was approximately

Accepted Answer

A)  110. 
B)  20. 
C)  4.5. 
D)  92. 
A)  110. 
B)  20. 
C)  4.5. 
D)  92.

Question 10

The analysis of variance compares

Accepted Answer

A)  the total variance with the variance within groups. 
B)  the total variance with the variance between group means. 
C)  the variance between group means with the variance within groups. 
D)  the variance within groups with the variance among all data points. 
A)  the total variance with the variance within groups. 
B)  the total variance with the variance between group means. 
C)  the variance between group means with the variance within groups. 
D)  the variance within groups with the variance among all data points.

Question 11

The analysis of variance differs from a t test for two independent samples because

Accepted Answer

A)  the t test is limited to 2 samples. 
B)  the analysis of variance can handle multiple samples. 
C)  they test different hypotheses. 
D)  both a and b 
A)  the t test is limited to 2 samples. 
B)  the analysis of variance can handle multiple samples. 
C)  they test different hypotheses. 
D)  both a and b

Question 12

In a one-way analysis of variance we deal with unequal sample sizes by

Accepted Answer

A)  not allowing them. 
B)  doing nothing different. 
C)  averaging the means. 
D)  multiplying each squared deviation by n j as we go along. 
A)  not allowing them. 
B)  doing nothing different. 
C)  averaging the means. 
D)  multiplying each squared deviation by n j as we go along.

Question 13

Eysenck's study on recall as a function of level of processing showed

Accepted Answer

A)  processing makes only minimal difference to recall. 
B)  old people don't learn anything. 
C)  just telling someone to learn a list of words doesn't work. 
D)  recall increases with the level of processing. 
A)  processing makes only minimal difference to recall. 
B)  old people don't learn anything. 
C)  just telling someone to learn a list of words doesn't work. 
D)  recall increases with the level of processing.

Question 14

The null hypothesis behind a simple multiple-group analysis of variance is of the form:

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 15

If we want to have faith in the results of our particular study, we will be most concerned with

Accepted Answer

A)  random sampling. 
B)  random assignment. 
C)  equal sample sizes. 
D)  a significant F . 
A)  random sampling. 
B)  random assignment. 
C)  equal sample sizes. 
D)  a significant F .

Question 16

A researcher found significant differences in the mean running speeds of sprinters wearing shoes made by Nike, Reebok, and Adidas using an analysis of variance. The η2 calculated on the basis of group membership (based on which shoes were worn) equaled .16. The value of η2 shows that

Accepted Answer

A)  the r value would be .4. 
B)  84% of the variability in running speed is attributed to shoe brand. 
C)  16% of the variability in running speed is attributed to shoe brand. 
D)  most of the factors influencing running speed are contained in the brand of shoes worn by runners. 
A)  the r value would be .4. 
B)  84% of the variability in running speed is attributed to shoe brand. 
C)  16% of the variability in running speed is attributed to shoe brand. 
D)  most of the factors influencing running speed are contained in the brand of shoes worn by runners.

Question 17

The grand mean is the mean of all observations across all groups.

Accepted Answer

A) True 
 B)False

Question 18

Indicate whether or not each of the following F statistics are significant based on the following information, assuming α = .05. 
a. F (4, 120) = 3.26 
b. F (2, 60) = 3.10 
c. F (6, 500) = 2.14

Accepted Answer

a. yes 
b.

Question 19

If the null hypothesis in the analysis of variance were true,

Accepted Answer

A)  the variances would all be the same. 
B)  the sample means would all be the same. 
C)  the population means would all be the same. 
D)  every subject would have the same score. 
A)  the variances would all be the same. 
B)  the sample means would all be the same. 
C)  the population means would all be the same. 
D)  every subject would have the same score.

Question 20

The analysis of variance assumes that

Accepted Answer

A)  the populations have no variance. 
B)  the samples have equal variances. 
C)  the populations have equal variances. 
D)  the variances are normally distributed. 
A)  the populations have no variance. 
B)  the samples have equal variances. 
C)  the populations have equal variances. 
D)  the variances are normally distributed.

When we speak about error variance in the analysis of variance we are speaking of

When we run a one-way ANOVA with four groups and obtain a significant F , the best effect-size measure to convey what that result tells us is

Which of the following is not a multiple comparison procedure we have discussed in class or seen in the texts.

Calculate η² and ω ² for the previous problem.

The following analysis of variance summary table applies to the next several questions. How many subjects were there in this experiment?

In the analysis of variance, MS_error is

Mean squares are closest to

The following analysis of variance summary table applies to the next several questions. In the experiment whose summary table is given above, the average standard deviation in each of the groups was approximately

The analysis of variance compares

The analysis of variance differs from a t test for two independent samples because

In a one-way analysis of variance we deal with unequal sample sizes by

Eysenck's study on recall as a function of level of processing showed

The null hypothesis behind a simple multiple-group analysis of variance is of the form:

If we want to have faith in the results of our particular study, we will be most concerned with

A researcher found significant differences in the mean running speeds of sprinters wearing shoes made by Nike, Reebok, and Adidas using an analysis of variance. The η² calculated on the basis of group membership (based on which shoes were worn) equaled .16. The value of η² shows that

The grand mean is the mean of all observations across all groups.

Indicate whether or not each of the following F statistics are significant based on the following information, assuming α = .05. a. F (4, 120) = 3.26 b. F (2, 60) = 3.10 c. F (6, 500) = 2.14

If the null hypothesis in the analysis of variance were true,

The analysis of variance assumes that

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

Exam 16: One-Way Analysis of Variance

When we speak about error variance in the analysis of variance we are speaking of

When we run a one-way ANOVA with four groups and obtain a significant F , the best effect-size measure to convey what that result tells us is

Which of the following is not a multiple comparison procedure we have discussed in class or seen in the texts.

Calculate η2 and ω 2 for the previous problem.

The following analysis of variance summary table applies to the next several questions. How many subjects were there in this experiment?

In the analysis of variance, MSerror is

Mean squares are closest to

The following analysis of variance summary table applies to the next several questions. In the experiment whose summary table is given above, the average standard deviation in each of the groups was approximately

The analysis of variance compares

The analysis of variance differs from a t test for two independent samples because

In a one-way analysis of variance we deal with unequal sample sizes by

Eysenck's study on recall as a function of level of processing showed

The null hypothesis behind a simple multiple-group analysis of variance is of the form:

If we want to have faith in the results of our particular study, we will be most concerned with

A researcher found significant differences in the mean running speeds of sprinters wearing shoes made by Nike, Reebok, and Adidas using an analysis of variance. The η2 calculated on the basis of group membership (based on which shoes were worn) equaled .16. The value of η2 shows that

The grand mean is the mean of all observations across all groups.

Indicate whether or not each of the following F statistics are significant based on the following information, assuming α = .05. a. F (4, 120) = 3.26 b. F (2, 60) = 3.10 c. F (6, 500) = 2.14

If the null hypothesis in the analysis of variance were true,

The analysis of variance assumes that

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

Calculate η² and ω ² for the previous problem.

In the analysis of variance, MS_error is

A researcher found significant differences in the mean running speeds of sprinters wearing shoes made by Nike, Reebok, and Adidas using an analysis of variance. The η² calculated on the basis of group membership (based on which shoes were worn) equaled .16. The value of η² shows that