Exam 14: Analysis of Variance
Exam 1: What Is Statistics43 Questions
Exam 2: Graphical Descriptive Techniques I93 Questions
Exam 3: Graphical Descriptive Techniques II183 Questions
Exam 4: Numerical Descriptive Techniques274 Questions
Exam 5: Data Collection and Sampling82 Questions
Exam 6: Probability234 Questions
Exam 7: Random Variables and Discrete Probability Distributions274 Questions
Exam 8: Continuous Probability Distributions215 Questions
Exam 9: Sampling Distributions153 Questions
Exam 10: Introduction to Estimation152 Questions
Exam 11: Introduction to Hypothesis Testing182 Questions
Exam 12: Inference About a Population147 Questions
Exam 13: Inference About Comparing Two Populations170 Questions
Exam 14: Analysis of Variance153 Questions
Exam 15: Chi-Squared Tests175 Questions
Exam 16: Simple Linear Regression and Correlation298 Questions
Exam 17: Multiple Regression157 Questions
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Keyboard Configuration and Size
The data shown below were taken from a 2 1 x 3 factorial experiment to examine the effects of factor A (keyboard configuration, 3 levels) and factor B (keyboard size, 2 levels) on typing speed.Each cell consists of the times needed for each of 4 randomly assigned keyboardists to type a standard document under each set of conditions (in minutes).
-{Keyboard Configuration and Size Narrative} Test at the 5% significance level to determine if time differences exist among the different keyboard configurations.

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(Essay)
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Correct Answer:
H0: No differences in average time among the keyboard configurations
H1: At least two means differ
Conclusion: F = 8.968 > 3.555.Reject the null hypothesis.Yes, time differences exist for at least two keyboard configurations, according to this data.
Note it was appropriate to perform this test because the interaction term AB is not significant.
Fisher's least significant difference method (LSD) substitutes the pooled variance estimator from the equal variances t-test with the MSE from ANOVA.
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(True/False)
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Correct Answer:
True
When the F-test is used for ANOVA, the rejection region is always in the right tail.
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(True/False)
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Correct Answer:
True
Consider the following partial ANOVA table:
The numerator and denominator degrees of freedom for the F-test (identified by asterisks) are

(Multiple Choice)
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Consider the following ANOVA table:
The number of treatments is

(Multiple Choice)
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The F-test of a randomized block design of the analysis of variance has the same requirements as the independent samples design; that is, the random variable must be ____________________ distributed and the population ____________________ must be equal.
(Short Answer)
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When the effect of a level for one factor depends on which level of another factor is present, the most appropriate ANOVA design to use in this situation is the:
(Multiple Choice)
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In the two-factor ANOVA where a is the number of factor A levels, b is the number of factor B levels, r is the number of replicates, and n is the total number of observations, the number of degrees of freedom for error is:
(Multiple Choice)
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One-way ANOVA is applied to independent samples taken from four normally distributed populations with equal variances.If the null hypothesis is rejected, then we can infer that
(Multiple Choice)
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Health Inspectors' Ages
In order to examine the differences in ages of health inspectors among five counties, a Health Department statistician took random samples of six inspectors' ages in each county.The data are listed below.An F-test using ANOVA showed that average age differs for at least two counties.
-{Health Inspectors' Ages Narrative} Did Tukey's method and Fisher's LSD method in the previous two questions yield the same results? Will this always be the case?

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The randomized block design with exactly two treatments is equivalent to a two-tail:
(Multiple Choice)
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In one-way analysis of variance, between-treatments variation is measured by the:
(Multiple Choice)
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Sub Sandwich Customers
The marketing manager of a Sub Shop chain is in the process of examining some of the demographic characteristics of her customers.In particular, she would like to investigate the belief that the ages of the customers of Sub Shops, hamburger emporiums, and fast-food chicken restaurants are different.The ages of eight randomly selected customers of each of the restaurants are recorded and listed below.From previous analyses we know that the ages are normally distributed with equal variances for each group.
-{Sub Sandwich Customers Narrative} Set up the ANOVA Table.Use = 0.05 to determine the critical value.

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The F-statistic in a one-way ANOVA represents the variation within the treatments divided by the variation between the treatments.
(True/False)
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In a two-factor ANOVA, where a is the number of factor A levels and b is the number of factor B levels, the number of degrees of freedom for the interaction term is
(Multiple Choice)
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In a completely randomized design for ANOVA, the numerator and denominator degrees of freedom are 4 and 25, respectively.The total number of observations must equal:
(Multiple Choice)
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The within-treatments variation provides a measure of the amount of variation in the response variables that is caused by the treatments.
(True/False)
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Health Inspectors' Ages
In order to examine the differences in ages of health inspectors among five counties, a Health Department statistician took random samples of six inspectors' ages in each county.The data are listed below.An F-test using ANOVA showed that average age differs for at least two counties.
-{Health Inspectors' Ages Narrative} Use Tukey's multiple comparison method to determine which means differ.

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GMAT Scores
A recent college graduate is in the process of deciding which one of three graduate schools he should apply to.He decides to judge the quality of the schools on the basis of the Graduate Management Admission Test (GMAT) scores of those who are accepted into the school.A random sample of six students in each school produced the following GMAT scores.Assume that the data are normally distributed with equal variances for each school.
-{GMAT Scores Narrative} Can he infer at the 10% significance level that the GMAT scores differ among the three schools?

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