Exam 15: Comparing Means of More Than Two Groups
Exam 1: Statistics and Samples36 Questions
Exam 2: Displaying Data55 Questions
Exam 3: Describing Data49 Questions
Exam 4: Estimating With Uncertainty47 Questions
Exam 5: Probability50 Questions
Exam 6: Hypothesis Testing40 Questions
Exam 7: Analyzing Proportions54 Questions
Exam 8: Fitting Probability Models to Frequency Data53 Questions
Exam 9: Contingency Analysis: Associations Between56 Questions
Exam 10: The Normal Distribution51 Questions
Exam 11: Inference for a Normal Population46 Questions
Exam 12: Comparing Two Means53 Questions
Exam 13: Handling Violations of Assumptions38 Questions
Exam 14: Designing Experiments56 Questions
Exam 15: Comparing Means of More Than Two Groups54 Questions
Exam 16: Correlation Between Numerical Variables49 Questions
Exam 17: Regression54 Questions
Exam 18: Multiple Explanatory Variables47 Questions
Exam 19: Computer-Intensive Methods25 Questions
Exam 20: Likelihood33 Questions
Exam 21: Meta-Analysis: Combining Information From38 Questions
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The error mean square is best described by which of the following?
(Multiple Choice)
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Consider the data table shown with values for five individuals measured in each of four groups (A, B, C, and D). We will conduct an ANOVA analysis of this.
Groups A B C D 6 7 9 11 8 10 11 14 10 11 12 15 12 12 13 16 14 15 15 19
-What is the value of the R2 value we obtain from the analysis?
(Multiple Choice)
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If the data intended for an ANOVA does not meet the assumptions, there are three options. Describe each of these options and what you would do to pursue each of them.
(Essay)
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Describe the reason we need a technique like the ANOVA. Illustrate the problem with an example using t-tests to study several groups. Make reference to the appropriate type of statistical error and use an example calculation to show the problem the ANOVA addresses.
(Essay)
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Describe the difference between ANOVA analyses examined fixed and random effects. Describe how the interpretation of the same numerical values is done differently.
(Essay)
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Consider the data table shown with values for six individuals measured in each of four groups (A, B, C, and D). We will conduct an ANOVA analysis of this.
Groups A B C D 11 12 11 16 12 13 14 18 14 14 15 19 15 17 16 23
-What is the value of the F-ratio we will use in the analysis?
(Multiple Choice)
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Consider a study involving seven populations from which we draw samples of 13 values each in which the group mean square is 315 and the error mean square is 2020.
Source of Sum of Mean variation squares df squares F-ratio Groups --- --- --- --- Error --- --- --- Total --- (a) Complete the ANOVA table.
(b) Does it appear that any of the population the samples are drawn from have means that differ from one another?
(Essay)
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A planned comparison is really just a t-test, but using a standard error based on the variance from all the groups.
(True/False)
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Consider the data table shown with values for five individuals measured in each of four groups (A, B, C, and D). We will conduct an ANOVA analysis of this.
Groups A B C D 6 7 9 11 8 10 11 14 10 11 12 15 12 12 13 16 14 15 15 19
-What is the error mean square?
(Multiple Choice)
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Consider the data table shown with values for five individuals measured in each of four groups (A, B, C, and D). We will conduct an ANOVA analysis of this.
Groups A B C D 6 7 9 11 8 10 11 14 10 11 12 15 12 12 13 16 14 15 15 19
-What is the value of the F-ratio we will use in the analysis?
(Multiple Choice)
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If the normality assumption of the single-factor ANOVA is violated, then the Kruskal-Wallis test is a good alternative as long as the sample sizes are large and the distributions are similar.
(True/False)
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Consider the data table shown with values for six individuals measured in each of four groups (A, B, C, and D). We will conduct an ANOVA analysis of this.
Groups A B C D 11 12 11 16 12 13 14 18 14 14 15 19 15 17 16 23
-To test the significance of the F-ratio value, what degrees of freedom would we use?
(Multiple Choice)
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Consider the partially completed ANOVA table shown.
Source of Sum of Mean variation squares df squares F-ratio Groups 384 6 \ldots \ldots Error 676 98 \ldots Total 1,060 104
-What is the F-ratio for this ANOVA table?
(Multiple Choice)
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Consider the data table shown with values for six individuals measured in each of four groups (A, B, C, and D). We will conduct an ANOVA analysis of this.
Groups A B C D 11 12 11 16 12 13 14 18 14 14 15 19 15 17 16 23
-What is the group mean square?
(Multiple Choice)
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Which of the following best describes the alternative hypothesis is an ANOVA analysis?
(Multiple Choice)
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Consider the data table shown with values for five individuals measured in each of four groups (A, B, C, and D). We will conduct an ANOVA analysis of this.
Groups A B C D 6 7 9 11 8 10 11 14 10 11 12 15 12 12 13 16 14 15 15 19
-What are the means of the groups and overall mean?
(Multiple Choice)
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Which of the following is what we expect if the samples we use in an ANOVA come from populations with the same means?
(Multiple Choice)
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Describe the difference between ANOVA analyses using planned and unplanned comparisons. Describe how the analysis is done differently.
(Essay)
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Based on the ANOVA table shown, what is the repeatability for this data?
?
Source of Sum of Mean variation squares df squares F-ratio Groups 406 7 58 5.27 Error 704 64 11 Total 1,110 71 ?
(Multiple Choice)
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A study examining the heights of multiple individuals in each of a series of families chosen at random from a population would be analyzed using a random-effects ANOVA.
(True/False)
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