IE330_Chapter15 - Chapter 15: Homework See Blackboard for...

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See Blackboard for assignment. Homework 8 is due 20 April 2011. Chapter 15: Homework
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You should be able to recall: The uses for each of the following tests: Sign Test, Wilcoxon Signed-Rank Test, Wilcoxon Rank-Sum Test, Kruskal-Wallis Test The distribution assumptions required by each of the above You should be able to accomplish: Conduct each of the above tests in Minitab. Interpret the output of each of the above tests. You should be able to understand: When non-parametric tests are better than parametric tests. Why non-parametric tests may be better than parametric tests. Chapter 15: Objectives
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There are times when the hypothesis tests, confidence intervals, regressions, and ANOVAs we’ve been discussing cannot be used because the data cannot be normalized, or some other assumption has been violated. In these cases we can use non-parametric tests. These generally have very few assumptions that need to be met (mostly just that the underlying distribution has to be continuous). Non-parametric alternatives to t-tests and ANOVA are discussed. These often involve categorizing the data, either by a simple +/- comparison to some median, or by ranking the data. These are much simpler than the t-tests and ANOVA that they replace. Chapter 15: Non-parametric tests - overview
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Use it instead of a one-sample t-test when the data is not normal. This test compares the data against a hypothesized median, counting up the number of values above and below the hypothesized median (Table 15-1, pg. 621). Advantage
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This note was uploaded on 09/12/2011 for the course INDUSTRIAL 201 taught by Professor Jake during the Spring '11 term at Northeast Wisconsin Technical College.

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IE330_Chapter15 - Chapter 15: Homework See Blackboard for...

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