Exam 10: Analysis of Variance Anova
Exam 1: The Language of Statistics62 Questions
Exam 2: Working With Numbers and Data Display62 Questions
Exam 3: Central Tendency and Variability62 Questions
Exam 4: Probability Distributions54 Questions
Exam 5: Sampling Distributions56 Questions
Exam 6: Estimation and Confidence Intervals52 Questions
Exam 7: Hypothesis Testing53 Questions
Exam 8: Tests for Significance: Z-Tests and One-Sample T-Tests56 Questions
Exam 9: Tests for Significance: Paired and Independent-Samples T-Test56 Questions
Exam 10: Analysis of Variance Anova55 Questions
Exam 11: CHI-Squared Tests of Fit56 Questions
Exam 12: Correlation R and Regression Y BX A54 Questions
Exam 13: Matching Statistical Tests to Business Problems57 Questions
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Why is it possible to get a negative value for t but not for F?
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Correct Answer:
A t-test examines the difference between a sample mean and population mean in standard deviation units. Thus, the sample mean can be smaller or larger than the population mean, enabling positive and negative values. An F-test, on the other hand, examines the ratio of two variability statistics. Since variability cannot be negative, the F statistic must always be positive.
There are 4 treatment conditions in one-way ANOVA when k = 5.
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Scheffe's test is a conservative post-hoc test and LSD is not a very conservative post-hoc test. This means ______ with Scheffe's test than with an LSD test.
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For one-way ANOVA, when = .05, the critical value when dfB = 3 and dfW = 10 is 8.79.
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Within groups variability estimates the degree to which group means vary from one another within ANOVA.
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Why should you use an ANOVA instead of multiple independent-samples t-tests?
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When calculating an ANOVA, you are most likely to see a significant difference between groups when ______.
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You collect data on the length sales calls from four departments within an organization. For this scenario, what is k?
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For one-way ANOVA, if 2 = .6, 6% of the variability in the outcome is attributable to group membership.
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In post-hoc tests, the critical mean difference is used to determine if ______.
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For one-way ANOVA, when = .01, the critical value when dfB = 3 and n = 20 is 5.29.
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Scheffe's test is the best post-hoc to use after a statistically significant one-way ANOVA.
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