Exam 13: Experimental Design and Analysis of Variance
Exam 1: Data and Statistics85 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays112 Questions
Exam 3: Descriptive Statistics: Numerical Measures139 Questions
Exam 4: Introduction to Probability129 Questions
Exam 5: Discrete Probability Distributions150 Questions
Exam 6: Continuous Probability Distributions144 Questions
Exam 7: Sampling and Sampling Distributions119 Questions
Exam 8: Interval Estimation118 Questions
Exam 9: Hypothesis Tests118 Questions
Exam 10: Inference About Means and Proportions With Two Populations127 Questions
Exam 11: Inferences About Population Variances113 Questions
Exam 12: Tests of Goodness of Fit, Independence and Multiple Proportions76 Questions
Exam 13: Experimental Design and Analysis of Variance125 Questions
Exam 14: Simple Linear Regression103 Questions
Exam 15: Multiple Regression109 Questions
Exam 16: Regression Analysis: Model Building82 Questions
Exam 17: Time Series Analysis and Forecasting80 Questions
Exam 18: Nonparametric Methods83 Questions
Exam 19: Statistical Methods for Quality Control75 Questions
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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 test statistic to test the null hypothesis equals

(Multiple Choice)
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Five drivers were selected to test drive 2 makes of automobiles. The following table shows the number of miles per gallon for each driver driving each car.
Consider the makes of automobiles as treatments and the drivers as blocks, use Excel to test to see if there is any difference in the miles/gallon of the two makes of automobiles. Let = .05.

(Essay)
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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 conclusion of the test is that the means

(Multiple Choice)
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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 critical F value with 8 numerator and 29 denominator degrees of freedom at = 0.01 is

(Multiple Choice)
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A research organization wishes to determine whether four brands of batteries for transistor radios perform equally well. Three batteries of each type were randomly selected and installed in the three test radios. The number of hours of use for each battery is given below.
a.Use the analysis of variance procedure for completely randomized designs to determine whether there is a significant difference in the mean useful life of the four types of batteries. (Ignore the fact that there are different test radios.) Use the .05 level of significance and be sure to construct the ANOVA table.
b.
b.Now consider the three different test radios and carry out the analysis of variance procedure for a randomized block design. Include the ANOVA table.
c.Compare the results in Parts a and

(Essay)
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Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.
-Information regarding the ACT scores of samples of students in three different majors are given below.
a.Set up the ANOVA table for this problem.
b.At a 5% level of significance, test to determine whether there is a significant difference in the means of the three populations.


(Essay)
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In an analysis of variance where the total sample size for the experiment is nT and the number of populations is k, the mean square within treatments is
(Multiple Choice)
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Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.
-Three different brands of tires were compared for wear characteristics. For each brand of tire, ten tires were randomly selected and subjected to standard wear testing procedures. The average mileage obtained for each brand of tire and sample standard deviations (both in 1000 miles) are shown below.
Use the above data and test to see if the mean mileage for all three brands of tires is the same. Let Alpha = 0.05.


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The number of times each experimental condition is observed in a factorial design is known as
(Multiple Choice)
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The heating bills for a selected sample of houses using various forms of heating are given below (values are in dollars).
At = 0.05, test to see if there is a significant difference among the average bills of the homes.

(Essay)
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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 between treatments is

(Multiple Choice)
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Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.
-In a completely randomized experimental design, 11 experimental units were used for each of the 3 treatments. Part of the ANOVA table is shown below.
a.Fill in the blanks in the above ANOVA table.
b.At a 5% level of significance, test to determine whether or not the means of the 3 populations are equal.


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In the analysis of variance procedure (ANOVA), factor refers to
(Multiple Choice)
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Exhibit 13-6
Part of an ANOVA table is shown below.
-Refer to Exhibit 13-6. The number of degrees of freedom corresponding to within treatments is

(Multiple Choice)
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Exhibit 13-6
Part of an ANOVA table is shown below.
-Refer to Exhibit 13-6. If at a 5% significance level we want to determine whether or not the means of the populations are equal, the critical value of F is

(Multiple Choice)
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Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.
-MNM, Inc. has three stores located in three different areas. Random samples of the sales of the three stores (in $1,000) are shown below.
At a 5% level of significance, test to see if there is a significant difference in the average sales of the three stores. Show your complete work and the ANOVA table. (Please note that the sample sizes are not equal.)


(Essay)
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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 mean square between treatments (MSTR) equals

(Multiple Choice)
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Five drivers were selected to test drive 2 makes of automobiles. The following table shows the number of miles per gallon for each driver driving each car.
Consider the makes of automobiles as treatments and the drivers as blocks, test to see if there is any difference in the miles/gallon of the two makes of automobiles. Let = .05.

(Essay)
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Exhibit 13-7
The following is part of an ANOVA table, which was the results of three treatments and a total of 15 observations.
-In a completely randomized design involving four treatments, the following information is provided.
The overall mean (the grand mean) for all treatments is


(Multiple Choice)
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