The Wilcoxon Signed Rank Test (Evans Part)

# The Wilcoxon Signed Rank Test (Evans Part) - the same...

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The Wilcoxon Signed Rank Test is one of the couple tests that will be used throughout this process. We will study whether or not the mean of the teams wins are greater than 85 and the Wilcoxon Signed Rank Test will assist us in making a better decision as to whether our hypothesis will be rejected or not. The Wilcoxon Signed Rank Test is a non-parametric alike of a one sample t-test. This idea was developed by Frank Wilcoxon in order to “compare a single sample with a benchmark using only ranks of the data instead of the original observations, as in a one-sample t-test” (Doane 2007, Pg. 702). This type of test assumes that the sample that is taken from a random population, and also may have a symmetric frequency distribution. While in the process of this type of test it does not assume normality, just because there seems to be just about
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Unformatted text preview: the same number of values above and below the median. The Wilcoxon Signed Rank Test should only be used whenever the distributional assumptions that stimulate the t-test cannot be satisfied. To use this type of test in the example of the MLB teams, and finding out if the mean of the teams wins are greater than 85, you would want to compare a random set of the teams and run tests on them. Once the results are gathered you examine to determine whether or not your hypothesis was right. This is where you could run a Wilcoxon Signed Rant Test. Finally to perform the Wilcoxon Signed Ranks Test it requires six steps. 1: Define the Null and Alternative hypotheses 2: State Alpha 3: State Decision Rule 4: Calculate Test Statistic 5: State Results 6: State Conclusion....
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## This note was uploaded on 04/16/2011 for the course BUS 415 taught by Professor Bobsmith during the Spring '10 term at University of Phoenix.

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