Exam 13: Experimental Design and Analysis of Variance
Exam 1: Data and Statistics66 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays69 Questions
Exam 3: Descriptive Statistics: Numerical Measures103 Questions
Exam 4: Introduction to Probability86 Questions
Exam 5: Discrete Probability Distributions68 Questions
Exam 6: Continuous Probability Distributions74 Questions
Exam 7: Sampling and Sampling Distributions85 Questions
Exam 8: Interval Estimation115 Questions
Exam 9: Hypothesis Tests81 Questions
Exam 10: Inference About Means and Proportions With Two Populations21 Questions
Exam 11: Inferences About Population Variances72 Questions
Exam 12: Tests of Goodness of Fit, Independence, and Multiple Proportions37 Questions
Exam 13: Experimental Design and Analysis of Variance120 Questions
Exam 14: Simple Linear Regression64 Questions
Exam 15: Multiple Regression43 Questions
Exam 16: Regression Analysis: Model Building36 Questions
Exam 17: Time Series Analysis and Forecasting47 Questions
Exam 18: Nonparametric Methods18 Questions
Exam 19: Statistical Methods for Quality Control51 Questions
Exam 20: Decision Analysis29 Questions
Exam 21: Sample Survey33 Questions
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The test scores for selected samples of sociology students who took the course from three different instructors are shown below. Instructor A Instructor B Instructor C 83 90 85 60 55 90 80 84 90 85 91 95 71 85 80 At α = .05, test to see if there is a significant difference among the averages of the three groups.
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The critical F value with 8 numerator and 29 denominator degrees of freedom at α = .01 is _____.
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Individuals were randomly assigned to three different production processes. The hourly units of production for the three processes are shown below. Production Process Process 1 Process 2 Process 3 33 33 28 30 35 36 28 30 30 29 38 34
Use the analysis of variance procedure with α = .05 to determine if there is a significant difference in the mean hourly units of production for the three types of production processes.
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Random samples of employees from three different departments of MNM Corporation showed the following yearly incomes (in $1,000s). Department A Department B Department C 40 46 46 37 41 40 43 43 41 41 33 48 35 41 39 38 42 45 At α = .05, test to determine if there is a significant difference among the average incomes of the employees from the three departments.
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When an analysis of variance is performed on samples drawn from k populations, the mean square between treatments (MSTR) is _____.
(Multiple Choice)
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Three universities administer the same comprehensive examination to the recipients of MS degrees in psychology. From each institution, a random sample of MS recipients was selected, and these recipients were then given the exam. The following table shows the scores of the students from each university. University A University B University C 89 60 81 95 95 70 75 89 90 92 80 78 99 66 77 At α = .01, test to see if there is any significant difference in the average scores of the students from the three universities. (Note that the sample sizes are not equal.)
(Essay)
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The manager of Young Corporation wants to determine whether or not the type of work schedule for her employees has any effect on their productivity. She has selected 15 production employees at random and then randomly assigned five employees to each of the three proposed work schedules. The following table shows the units of production (per week) under each of the work schedules. Work Schedule (Treatments) Work Schedule 1 Work Schedule 2 Work Schedule 3 50 60 70 60 65 75 70 66 55 40 54 40 45 57 55 At a 5% level of significance, determine if there is a significant difference in the mean weekly units of production for the three types of work schedules.
(Essay)
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To determine whether the means of two populations are equal, _____.
(Multiple Choice)
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An ANOVA procedure is used for data obtained from five populations. Five samples, each comprised of 20 observations, were taken from the five populations. The numerator and denominator (respectively) degrees of freedom for the critical value of F are _____.
(Multiple Choice)
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Random samples of employees from three different departments of MNM Corporation showed the following yearly incomes (in $1,000s). Department A Department B Department C 40 46 46 37 41 40 43 43 41 41 33 48 35 41 39 38 42 45 At α = .05, test to determine if there is a significant difference among the average incomes of the employees from the three departments.
(Essay)
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An ANOVA procedure is used for data obtained from four populations. Four samples, each comprised of 30 observations, were taken from the four populations. The numerator and denominator (respectively) degrees of freedom for the critical value of F are _____.
(Multiple Choice)
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In a completely randomized design involving three treatments, the following information is provided: Treatment 1 Treatment2 Treatment 3 Sample size 5 10 5 Sample mean 4 8 9 ? The overall mean for all the treatments is ______.
(Multiple Choice)
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An ANOVA procedure is used for data obtained from five populations. Five samples, each comprised of 20 observations, were taken from the five populations. The numerator and denominator (respectively) degrees of freedom for the critical value of F are _____.
(Multiple Choice)
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The process of allocating the total sum of squares and degrees of freedom is called _____.
(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). Gas-Heated Homes Central Electric Heat Pump 83 90 81 80 88 83 82 87 80 83 82 82 82 83 79 At α = .05, test to see if there is a significant difference among the average bills of the homes.
(Essay)
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To determine whether the means of two populations are equal, _____.
(Multiple Choice)
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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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A factorial experiment involving two levels of factor A and two levels of factor B resulted in the following. Factor B Factor A Level 1 Level 2 Level 1 14 18 16 12 Level 2 18 16 20 14 Set up the ANOVA table and test for any significant main effect and any interaction effect. Use α = .05.
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Samples were selected from three populations. The data obtained are shown below. Sample 1 Sample 2 Sample 3 10 16 15 13 14 15 12 13 16 13 14 14 16 10 At a 5% level of significance, use Excel to test to determine whether there is a significant difference in the means of the three populations.
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