Question 1

The following analysis of variance summary table applies to the next several questions.
 
What would you conclude from the summary table above?

Accepted Answer

A)  The difference "between groups" is significant by a one-tailed test of μ1 μ 2. 
B)  The difference "between groups" is not significant. 
C)  The difference "between groups" is significant. 
D)  We don't have enough information to draw a conclusion. 
A)  The difference "between groups" is significant by a one-tailed test of μ1 μ 2. 
B)  The difference "between groups" is not significant. 
C)  The difference "between groups" is significant. 
D)  We don't have enough information to draw a conclusion. C

Question 2

The book discusses an experiment by Merrell that examined the effects of Anthrax, Mozart, and no music on the amount of time it took a mouse to run a maze. To determine if there is an overall difference between the three groups, Merrell ran an ANOVA. To determine which means differed for each other, he ran a

Accepted Answer

A)  regression. 
B)  repeated-measures t-test. 
C)  Bonferroni test. 
D)  chi-square. 
A)  regression. 
B)  repeated-measures t-test. 
C)  Bonferroni test. 
D)  chi-square. C

Question 3

MSgroup is the variability among subjects in the same group.

Accepted Answer

A) True 
 B)False  False

Question 4

The familywise error rate is

Accepted Answer

A)  the probability of at least one Type I error. 
B)  the probability of no Type I errors. 
C)  the number of Type I errors that you are likely to make. 
D)  the probability of a Type II error. 
A)  the probability of at least one Type I error. 
B)  the probability of no Type I errors. 
C)  the number of Type I errors that you are likely to make. 
D)  the probability of a Type II error.

Question 5

Given the following information, calculate and interpret F.

Accepted Answer

F = 9.29. There is a

Question 6

The major difference between η2 (eta-squared) and ω2 (omega-squared) is that

Accepted Answer

A)  η2 tends to overestimate the true value in the population. 
B)  ω2 tends to overestimate the true value in the population. 
C)  calculation of η2 uses the number of groups. 
D)  the calculation of ω2 is quicker and easier. 
A)  η2 tends to overestimate the true value in the population. 
B)  ω2 tends to overestimate the true value in the population. 
C)  calculation of η2 uses the number of groups. 
D)  the calculation of ω2 is quicker and easier.

Question 7

The Bonferroni procedure controls error rates by

Accepted Answer

A)  operating at a reduced level of α. 
B)  operating at an increased level of α. 
C)  not allowing you to make any comparisons unless the F is significant. 
D)  changing the error term. 
A)  operating at a reduced level of α. 
B)  operating at an increased level of α. 
C)  not allowing you to make any comparisons unless the F is significant. 
D)  changing the error term.

Question 8

What type of multiple comparison procedure should be used if we want to divide the familywise error rate among the number of comparisons that we are performing?

Accepted Answer

A)  Fisher's LSD 
B)  Bonferroni procedure 
C)  factorial ANOVA 
D)  paired samples t-test 
A)  Fisher's LSD 
B)  Bonferroni procedure 
C)  factorial ANOVA 
D)  paired samples t-test

Question 9

We generally don't compute a confidence interval on the omnibus null hypothesis because

Accepted Answer

A)  it is not clear what it would mean if we could do so. 
B)  we don't know how to do so. 
C)  it does not address the questions we are likely to want to answer. 
D)  all of the above 
A)  it is not clear what it would mean if we could do so. 
B)  we don't know how to do so. 
C)  it does not address the questions we are likely to want to answer. 
D)  all of the above

Question 10

An overall ANOVA was significant. A student calculated t-tests between each of the groups. Each group consisted of 15 people. Which groups are significantly different from one another using a Bonferroni correction?

Accepted Answer

1 and 2, 1 and 3, an

Question 11

When we reject the null hypothesis in the analysis of variance we can conclude that

Accepted Answer

A)  all of the means are the same. 
B)  all of the means are different. 
C)  at least one of the means is different from at least one other mean. 
D)  only one mean is different from one other mean. 
A)  all of the means are the same. 
B)  all of the means are different. 
C)  at least one of the means is different from at least one other mean. 
D)  only one mean is different from one other mean.

Question 12

A common criticism of Fisher's LSD test is that

Accepted Answer

A)  it is sometimes too conservative. 
B)  it is sometimes too liberal. 
C)  it is too difficult. 
D)  it relies on a non-normal distribution. 
A)  it is sometimes too conservative. 
B)  it is sometimes too liberal. 
C)  it is too difficult. 
D)  it relies on a non-normal distribution.

Question 13

An ANOVA is used to compare the means of two or more groups.

Accepted Answer

A) True 
 B)False

Question 14

If the null hypothesis is true, we would expect the F in the analysis of variance to be

Accepted Answer

A)  approximately 0. 
B)  somewhere around 1. 
C)  at least 10. 
D)  the value of F is not dependent on the status of the null hypothesis. 
A)  approximately 0. 
B)  somewhere around 1. 
C)  at least 10. 
D)  the value of F is not dependent on the status of the null hypothesis.

Question 15

MSerror is the variability among group means.

Accepted Answer

A) True 
 B)False

Question 16

Based on the following data, create an ANOVA summary table and calculate and interpret F.

Accepted Answer

There is a statistic

Question 17

A student wanted to determine if the mean number of times a student missed class was different for sophomores, juniors, and seniors. After collecting attendance data, the student ran an ANOVA and found that MSgroups was much larger than MSerror. This student can conclude that

Accepted Answer

A)  sophomores miss class more than juniors and seniors. 
B)  there is a difference in the mean number of times sophomores, juniors, and seniors miss class. 
C)  seniors miss class more than sophomores and juniors. 
D)  there is no difference between the groups. 
A)  sophomores miss class more than juniors and seniors. 
B)  there is a difference in the mean number of times sophomores, juniors, and seniors miss class. 
C)  seniors miss class more than sophomores and juniors. 
D)  there is no difference between the groups.

Question 18

You want to control the _______ when multiple comparisons are being made?

Accepted Answer

A)  probability error rate 
B)  significance error rate 
C)  familywise error rate 
D)  test-retest error rate 
A)  probability error rate 
B)  significance error rate 
C)  familywise error rate 
D)  test-retest error rate

Question 19

The familywise error rate is

Accepted Answer

A)  the probability of at least one Type I error in a set of comparisons. 
B)  the probability of no Type I errors. 
C)  the number of Type I errors that you are likely to make. 
D)  the probability of a Type II error. 
A)  the probability of at least one Type I error in a set of comparisons. 
B)  the probability of no Type I errors. 
C)  the number of Type I errors that you are likely to make. 
D)  the probability of a Type II error.

Question 20

What are our choices for effect size measures for a one-way ANOVA?

Accepted Answer

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

The following analysis of variance summary table applies to the next several questions. What would you conclude from the summary table above?

MS_group is the variability among subjects in the same group.

The familywise error rate is

Given the following information, calculate and interpret F.

The major difference between η² (eta-squared) and ω² (omega-squared) is that

The Bonferroni procedure controls error rates by

What type of multiple comparison procedure should be used if we want to divide the familywise error rate among the number of comparisons that we are performing?

We generally don't compute a confidence interval on the omnibus null hypothesis because

An overall ANOVA was significant. A student calculated t-tests between each of the groups. Each group consisted of 15 people. Which groups are significantly different from one another using a Bonferroni correction?

When we reject the null hypothesis in the analysis of variance we can conclude that

A common criticism of Fisher's LSD test is that

An ANOVA is used to compare the means of two or more groups.

If the null hypothesis is true, we would expect the F in the analysis of variance to be

MS_error is the variability among group means.

Based on the following data, create an ANOVA summary table and calculate and interpret F.

A student wanted to determine if the mean number of times a student missed class was different for sophomores, juniors, and seniors. After collecting attendance data, the student ran an ANOVA and found that MS_groups was much larger than MS_error. This student can conclude that

You want to control the _______ when multiple comparisons are being made?

The familywise error rate is

What are our choices for effect size measures for a one-way ANOVA?

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

The following analysis of variance summary table applies to the next several questions. What would you conclude from the summary table above?

MSgroup is the variability among subjects in the same group.

The familywise error rate is

Given the following information, calculate and interpret F.

The major difference between η2 (eta-squared) and ω2 (omega-squared) is that

The Bonferroni procedure controls error rates by

What type of multiple comparison procedure should be used if we want to divide the familywise error rate among the number of comparisons that we are performing?

We generally don't compute a confidence interval on the omnibus null hypothesis because

An overall ANOVA was significant. A student calculated t-tests between each of the groups. Each group consisted of 15 people. Which groups are significantly different from one another using a Bonferroni correction?

When we reject the null hypothesis in the analysis of variance we can conclude that

A common criticism of Fisher's LSD test is that

An ANOVA is used to compare the means of two or more groups.

If the null hypothesis is true, we would expect the F in the analysis of variance to be

MSerror is the variability among group means.

Based on the following data, create an ANOVA summary table and calculate and interpret F.

A student wanted to determine if the mean number of times a student missed class was different for sophomores, juniors, and seniors. After collecting attendance data, the student ran an ANOVA and found that MSgroups was much larger than MSerror. This student can conclude that

You want to control the _______ when multiple comparisons are being made?

The familywise error rate is

What are our choices for effect size measures for a one-way ANOVA?

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

MS_group is the variability among subjects in the same group.

The major difference between η² (eta-squared) and ω² (omega-squared) is that

MS_error is the variability among group means.

A student wanted to determine if the mean number of times a student missed class was different for sophomores, juniors, and seniors. After collecting attendance data, the student ran an ANOVA and found that MS_groups was much larger than MS_error. This student can conclude that