Question 1

For this one-factor ANOVA (some information is missing),how many treatment groups were there?

Accepted Answer

A) Cannot be determined 
B) 3 
C) 4 
D) 2 
A) Cannot be determined 
B) 3 
C) 4 
D) 2

Question 2

The table below shows six random observations on the number of airline tickets booked on Orbitz per hour in the five months bracketing the summer travel season.What test would a statistician probably use? How many total degrees of freedom? How many degrees of freedom for the treatment(s)? How many error degrees of freedom? Explain.Do not do the F-test.

Accepted Answer

We have five columns of indepe

Question 3

Hartley's test is to check for unequal variances for c groups.

Accepted Answer

A) True 
 B)False

Question 4

Refer to the following partial ANOVA results from Excel (some information is missing).   Degrees of freedom for the F-test are

Accepted Answer

A) 5,22 
B) 4,21 
C) 3,20 
D) impossible to determine. 
A) 5,22 
B) 4,21 
C) 3,20 
D) impossible to determine.

Question 5

Systolic blood pressure of randomly selected HMO patients was recorded on a particular Wednesday,with the results shown here.An ANOVA test was performed using these data.   What are the degrees of freedom for the error sum of squares?

Accepted Answer

A) 3 
B) 19 
C) 16 
D) It depends on α. 
A) 3 
B) 19 
C) 16 
D) It depends on α.

Question 6

The Internal Revenue Service wishes to study the time required to process tax returns in three regional centers.A random sample of three tax returns is chosen from each of three centers.The time (in days)required to process each return is recorded as shown below.Subsequently,an ANOVA test was performed.   Degrees of freedom for the error sum of squares in the ANOVA would be

Accepted Answer

A) 11 
B) 2 
C) 4 
D) 6 
A) 11 
B) 2 
C) 4 
D) 6

Question 7

Analysis of variance is a technique used to test for

Accepted Answer

A) equality of two or more variances. 
B) equality of two or more means. 
C) equality of a population mean and a given value. 
D) equality of more than two variances. 
A) equality of two or more variances. 
B) equality of two or more means. 
C) equality of a population mean and a given value. 
D) equality of more than two variances.

Question 8

The table below shows raw data on air pollutant levels (micrograms of particulate per liter of air)sampled at four different randomly chosen times of day on three different freeways.What test would a statistician probably use? How many total degrees of freedom? How many degrees of freedom for the treatment(s)? How many error degrees of freedom? Explain.Do not do the F-test.

Accepted Answer

The data are arranged in rows rather tha

Question 9

The Kruskal-Wallis test does not require normal populations,but it does require them to be of similar shape.

Accepted Answer

A) True 
 B)False

Question 10

Given the following ANOVA table (some information is missing),find the critical value of F.05.

Accepted Answer

A) 3.06 
B) 2.90 
C) 2.36 
D) 3.41 
A) 3.06 
B) 2.90 
C) 2.36 
D) 3.41

Question 11

Tukey's test pools all the sample variances.

Accepted Answer

A) True 
 B)False

Question 12

Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA table
  The MS (mean square)for the treatments is

Accepted Answer

A) 239.13 
B) 106.88 
C) 1130.8 
D) impossible to ascertain from the information given. 
A) 239.13 
B) 106.88 
C) 1130.8 
D) impossible to ascertain from the information given.

Question 13

ANOVA is a procedure intended to compare the variances of several groups (treatments).

Accepted Answer

A) True 
 B)False

Question 14

Refer to the following output (some information is missing).The sample size was n = 65 in a one-factor ANOVA.   Which pairs of days differ significantly? Note: This question requires access to a Tukey table.

Accepted Answer

A) (Mon,Thu)and (Mon,Wed)only. 
B) (Mon,Wed)only. 
C) (Mon,Thu)only. 
D) (Mon,Thu)and (Mon,Wed)and (Mon,Fri)and (Mon,Tue). 
A) (Mon,Thu)and (Mon,Wed)only. 
B) (Mon,Wed)only. 
C) (Mon,Thu)only. 
D) (Mon,Thu)and (Mon,Wed)and (Mon,Fri)and (Mon,Tue).

Question 15

Comparison of c means in one-factor ANOVA can equivalently be done by using c individual t-tests on c pairs of means at the same α.

Accepted Answer

A) True 
 B)False

Question 16

The Kruskal-Wallis test is most useful when

Accepted Answer

A) Excel is unavailable and hand calculations are required. 
B) the sampled populations are normal with no outliers. 
C) we need to compare the means instead of the medians. 
D) observed data values are only ordinal measurements. 
A) Excel is unavailable and hand calculations are required. 
B) the sampled populations are normal with no outliers. 
C) we need to compare the means instead of the medians. 
D) observed data values are only ordinal measurements.

Question 17

Degrees of freedom for the between-group variation in a one-factor ANOVA with n1 = 5,n2 = 6,n3 = 7 would be

Accepted Answer

A) 18 
B) 17 
C) 6 
D) 2 
A) 18 
B) 17 
C) 6 
D) 2

Question 18

A clinic has four doctors.They wish to compare the amount of time that doctors spend with their patients.It is suspected that times may not be normally distributed but are otherwise assumed similar except in center,so a nonparametric test was chosen.The Kruskal-Wallis test results are shown below.   Which is the best conclusion at α = .01?

Accepted Answer

A) The doctors have the same median times. 
B) The doctors have different median times. 
C) The sample size is insufficient for this kind of test. 
D) A one-factor ANOVA would be a better kind of test. 
A) The doctors have the same median times. 
B) The doctors have different median times. 
C) The sample size is insufficient for this kind of test. 
D) A one-factor ANOVA would be a better kind of test.

Question 19

Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA Table
  The F statistic is

Accepted Answer

A) 2.88 
B) 4.87 
C) 5.93 
D) 6.91 
A) 2.88 
B) 4.87 
C) 5.93 
D) 6.91

Question 20

In an ANOVA,the SSE (error)sum of squares reflects

Accepted Answer

A) the effect of the combined factor(s). 
B) the overall variation in Y that is to be explained. 
C) the variation that is not explained by the factors. 
D) the combined effect of treatments and sample size. 
A) the effect of the combined factor(s). 
B) the overall variation in Y that is to be explained. 
C) the variation that is not explained by the factors. 
D) the combined effect of treatments and sample size.

For this one-factor ANOVA (some information is missing),how many treatment groups were there?

Hartley's test is to check for unequal variances for c groups.

Refer to the following partial ANOVA results from Excel (some information is missing). Degrees of freedom for the F-test are

Systolic blood pressure of randomly selected HMO patients was recorded on a particular Wednesday,with the results shown here.An ANOVA test was performed using these data. What are the degrees of freedom for the error sum of squares?

Analysis of variance is a technique used to test for

The Kruskal-Wallis test does not require normal populations,but it does require them to be of similar shape.

Given the following ANOVA table (some information is missing),find the critical value of F.05.

Tukey's test pools all the sample variances.

Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA table The MS (mean square)for the treatments is

ANOVA is a procedure intended to compare the variances of several groups (treatments).

Refer to the following output (some information is missing).The sample size was n = 65 in a one-factor ANOVA. Which pairs of days differ significantly? Note: This question requires access to a Tukey table.

Comparison of c means in one-factor ANOVA can equivalently be done by using c individual t-tests on c pairs of means at the same α.

The Kruskal-Wallis test is most useful when

Degrees of freedom for the between-group variation in a one-factor ANOVA with n1 = 5,n2 = 6,n3 = 7 would be

Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA Table The F statistic is

In an ANOVA,the SSE (error)sum of squares reflects

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Simple Regression

Multiple Regression

Chi-Square Tests

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Exam 11: Analysis of Variance

For this one-factor ANOVA (some information is missing),how many treatment groups were there?

Hartley's test is to check for unequal variances for c groups.

Refer to the following partial ANOVA results from Excel (some information is missing). Degrees of freedom for the F-test are

Systolic blood pressure of randomly selected HMO patients was recorded on a particular Wednesday,with the results shown here.An ANOVA test was performed using these data. What are the degrees of freedom for the error sum of squares?

Analysis of variance is a technique used to test for

The Kruskal-Wallis test does not require normal populations,but it does require them to be of similar shape.

Given the following ANOVA table (some information is missing),find the critical value of F.05.

Tukey's test pools all the sample variances.

Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA table The MS (mean square)for the treatments is

ANOVA is a procedure intended to compare the variances of several groups (treatments).

Refer to the following output (some information is missing).The sample size was n = 65 in a one-factor ANOVA. Which pairs of days differ significantly? Note: This question requires access to a Tukey table.

Comparison of c means in one-factor ANOVA can equivalently be done by using c individual t-tests on c pairs of means at the same α.

The Kruskal-Wallis test is most useful when

Degrees of freedom for the between-group variation in a one-factor ANOVA with n1 = 5,n2 = 6,n3 = 7 would be

Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA Table The F statistic is

In an ANOVA,the SSE (error)sum of squares reflects

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Simple Regression

Multiple Regression

Chi-Square Tests

Filters