Question 1

Exhibit 13-1  
-Refer to Exhibit 13-1. The test statistic to test the null hypothesis equals

Accepted Answer

A) 0.22 
B) 0.84 
C) 4.22 
D) 4.5 
A) 0.22 
B) 0.84 
C) 4.22 
D) 4.5 D

Question 2

Exhibit 13-2  
-Refer to Exhibit 13-2. The mean square between treatments equals

Accepted Answer

A) 288 
B) 518.4 
C) 1,200 
D) 8,294.4 
A) 288 
B) 518.4 
C) 1,200 
D) 8,294.4 B

Question 3

A dietician wants to see if there is any difference in the effectiveness of three diets. Eighteen people, comprising a sample, were randomly assigned to the three diets. Below you are given the total amount of weight lost in a month by each person.   What would you advise the dietician about the effectiveness of the three diets? Use Excel and a .05 level of significance.

Accepted Answer

Conclude that the diets are equally effective.

Question 4

In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as

Accepted Answer

A) main effect 
B) replication 
C) interaction 
D) None of these alternatives is correct. 
A) main effect 
B) replication 
C) interaction 
D) None of these alternatives is correct.

Question 5

Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.  
-Which of the following is not a required assumption for the analysis of variance?

Accepted Answer

A) The random variable of interest for each population has a normal probability distribution. 
B) The variance associated with the random variable must be the same for each population. 
C) At least 2 populations are under consideration. 
D) Populations have equal means. 
A) The random variable of interest for each population has a normal probability distribution. 
B) The variance associated with the random variable must be the same for each population. 
C) At least 2 populations are under consideration. 
D) Populations have equal means.

Question 6

The three major automobile manufacturers have entered their cars in the Indianapolis 500 race. The speeds of the tested cars are given below.  
 At $\alpha$ = .05, use Excel to test to see if there is a significant difference in the average speeds of the cars of the auto manufacturers.

Accepted Answer

@#IMG-DLM& Do not reject H_0,

Question 7

Exhibit 13-4
In a completely randomized experimental design involving five treatments, thirteen observations were recorded for each of the five treatments. The following information is provided.SSTR = 200 (Sum Square Between Treatments)
SST = 800 (Total Sum Square)
-Refer to Exhibit 13-4. The number of degrees of freedom corresponding to between treatments is

Accepted Answer

A) 60 
B) 59 
C) 5 
D) 4 
A) 60 
B) 59 
C) 5 
D) 4

Question 8

Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.  
-Refer to Exhibit 13-7. The mean square between treatments (MSTR) is

Accepted Answer

A) 36 
B) 16 
C) 8 
D) 32 
A) 36 
B) 16 
C) 8 
D) 32

Question 9

In order to test to see if there is any significant difference in the mean number of units produced per week by each of three production methods, the following data were collected:   At the Alpha = 0.05 level of significance, is there any difference in the mean number of units produced per week by each method? Show the complete ANOVA table. (Please note that the sample sizes are not equal.)

Accepted Answer

@#IMG-DLM& F = 3.12 < 5.79; Do not rejec

Question 10

A factorial experiment involving 2 levels of factor A and 2 levels of factor B resulted in the following.   
Set up the ANOVA table and test for any significant main effect and any interaction effect. Use $\mu$= .05.

Accepted Answer

Factor A Treatment F = 1.33 <

Question 11

Eight observations were selected from each of 3 populations, and an analysis of variance was performed on the data. The following are part of the results.   
Using $\alpha$ = .05, test to see if there is a significant difference among the means of the three populations. The sample sizes for the three treatments are equal.

Accepted Answer

H_o: @#LAT-DLM&₁ = @#LAT-DLM&₂

Question 12

Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.  
-The test scores for selected samples of sociology students who took the course from three different instructors are shown below.   
At $\alpha$ = 0.05, test to see if there is a significant difference among the averages of the three groups.

Accepted Answer

@#IMG-DLM& 
F = 1.56 < 3.89; Do not reje

Question 13

Part of an ANOVA table is shown below.   
a.Compute the missing values and fill in the blanks in the above table. Use $\mu$ = .01 to determine if there is any significant difference among the means.
b.How many groups have there been in this problem?
c.What has been the total number of observations?

Accepted Answer

a. @#IMG-DLM& 
F = 5.00 > 4.94; Reject H

Question 14

Exhibit 13-3
To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments. You are given the results below.  
-Refer to Exhibit 13-3. The null hypothesis for this ANOVA problem is

Accepted Answer

A) $\mu$1=$\mu$2 
B) $\mu$1=$\mu$2=$\mu$3 
C) $\mu$1=$\mu$2=$\mu$3=$\mu$4 
D) $\mu$1=$\mu$2= ... =$\mu$12 
A) $\mu$1=$\mu$2 
B) $\mu$1=$\mu$2=$\mu$3 
C) $\mu$1=$\mu$2=$\mu$3=$\mu$4 
D) $\mu$1=$\mu$2= ... =$\mu$12

Question 15

Exhibit 13-5
Part of an ANOVA table is shown below.  
-Refer to Exhibit 13-5. If at a 5% level of significance, we want to determine whether or not the means of the populations are equal, the critical value of F is

Accepted Answer

A) 2.53 
B) 19.48 
C) 3.29 
D) 5.86 
A) 2.53 
B) 19.48 
C) 3.29 
D) 5.86

Question 16

Regional Manager Sue Collins would like to know if the mean number of telephone calls made per 8-hour shift is the same for the telemarketers at her three call centers (Austin, Las Vegas, and Albuquerque).A simple random sample of 6 telemarketers from each of the three call centers was taken and the number of telephone calls made in eight hours by each observed employee is shown below.   
a. Using $\alpha$ = .10, test for any significant difference in number of telephone calls made at the three call centers.
b. Apply Fisher's least significant difference (LSD) procedure to determine where the differences occur. Use $\alpha$ = .05.

Accepted Answer

a. Reject H₀, because F = 2.8

Question 17

Exhibit 13-1  
-Refer to Exhibit 13-1. The null hypothesis

Accepted Answer

A) should be rejected 
B) should not be rejected 
C) was designed incorrectly 
D) None of these alternatives is correct. 
A) should be rejected 
B) should not be rejected 
C) was designed incorrectly 
D) None of these alternatives is correct.

Question 18

The process of allocating the total sum of squares and degrees of freedom is called

Accepted Answer

A) factoring 
B) blocking 
C) replicating 
D) partitioning 
A) factoring 
B) blocking 
C) replicating 
D) partitioning

Question 19

Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.  
-Refer to Exhibit 13-7. The number of degrees of freedom corresponding to within treatments is

Accepted Answer

A) 12 
B) 2 
C) 3 
D) 15 
A) 12 
B) 2 
C) 3 
D) 15

Question 20

The mean square is the sum of squares divided by

Accepted Answer

A) the total number of observations 
B) its corresponding degrees of freedom 
C) its corresponding degrees of freedom minus one 
D) None of these alternatives is correct. 
A) the total number of observations 
B) its corresponding degrees of freedom 
C) its corresponding degrees of freedom minus one 
D) None of these alternatives is correct.

Exhibit 13-1 -Refer to Exhibit 13-1. The test statistic to test the null hypothesis equals

Exhibit 13-2 -Refer to Exhibit 13-2. The mean square between treatments equals

In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as

Exhibit 13-7 The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations. -Which of the following is not a required assumption for the analysis of variance?

Exhibit 13-7 The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations. -Refer to Exhibit 13-7. The mean square between treatments (MSTR) is

Exhibit 13-3 To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments. You are given the results below. -Refer to Exhibit 13-3. The null hypothesis for this ANOVA problem is

Exhibit 13-5 Part of an ANOVA table is shown below. -Refer to Exhibit 13-5. If at a 5% level of significance, we want to determine whether or not the means of the populations are equal, the critical value of F is

Exhibit 13-1 -Refer to Exhibit 13-1. The null hypothesis

The process of allocating the total sum of squares and degrees of freedom is called

Exhibit 13-7 The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations. -Refer to Exhibit 13-7. The number of degrees of freedom corresponding to within treatments is

The mean square is the sum of squares divided by

Data and Statistics

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Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

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Exam 13: Experimental Design and Analysis of Variance

Exhibit 13-1 -Refer to Exhibit 13-1. The test statistic to test the null hypothesis equals

Exhibit 13-2 -Refer to Exhibit 13-2. The mean square between treatments equals

In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as

Exhibit 13-7 The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations. -Which of the following is not a required assumption for the analysis of variance?

The three major automobile manufacturers have entered their cars in the Indianapolis 500 race. The speeds of the tested cars are given below. At α\alphaα = .05, use Excel to test to see if there is a significant difference in the average speeds of the cars of the auto manufacturers.

Exhibit 13-7 The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations. -Refer to Exhibit 13-7. The mean square between treatments (MSTR) is

A factorial experiment involving 2 levels of factor A and 2 levels of factor B resulted in the following. Set up the ANOVA table and test for any significant main effect and any interaction effect. Use μ\muμ = .05.

Part of an ANOVA table is shown below. a.Compute the missing values and fill in the blanks in the above table. Use μ\muμ = .01 to determine if there is any significant difference among the means. b.How many groups have there been in this problem? c.What has been the total number of observations?

Exhibit 13-3 To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments. You are given the results below. -Refer to Exhibit 13-3. The null hypothesis for this ANOVA problem is

Exhibit 13-5 Part of an ANOVA table is shown below. -Refer to Exhibit 13-5. If at a 5% level of significance, we want to determine whether or not the means of the populations are equal, the critical value of F is

Exhibit 13-1 -Refer to Exhibit 13-1. The null hypothesis

The process of allocating the total sum of squares and degrees of freedom is called

Exhibit 13-7 The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations. -Refer to Exhibit 13-7. The number of degrees of freedom corresponding to within treatments is

The mean square is the sum of squares divided by

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence and Multiple Proportions

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters