Dq 1 Week 3

It is not easy to give simple advice concerning the use of nonparametric procedures. Each nonparametric procedure has its peculiar sensitivities and blind spots. For example, the Kolmogorov-Smirnov two- audition raveling is not only sensitive to differences in the location of distributions (for example, differences in path) but is also greatly affected by differences in their shapes. The Wilcoxon matched pairs test assumes that mavin can rank order the magnitude of differences in matched observations in a meaningful manner. If this is not the case, 1 should rather use the Sign test. In general, if the result of a study is important (e.g., does a rattling expensive and irritating drug therapy help people amaze better?), accordingly it is always advisable to run different nonparametric tests; should discrepancies in the results occur contingent upon which test is used, one should try to get wind why some tests give different results. On the other hand, nonparametric stat istics ar less statistically virile (sensitive) than their parametric counterparts, and if it is important to detect til now small set up (e.g., is this aliment additive harmful to people?) one should be very careful in the choice of a test statistic. declamatory data sets and nonparametric methods.

Nonparametric methods are well-nigh inhibit when the sample sizes are small. When the data set is huge (e.g., n > 100) it often makes little sense to use nonparametric statistics at all. Elementary Concepts briefly discusses the idea of the central furbish up theorem. In a nutshell, when the samples become very large, then the sample means will follow the normal distribution even if t he individual variable is not normally dist! ributed in the population, or is not measured very well. Thus, parametric methods, which are unremarkably overmuch more sensitive (i.e., have more statistical power) are in most cases appropriate for large samples. However, the tests of meaning of more of the nonparametric statistics described here are base on...If you unavoidableness to get a full essay, order it on our website: OrderEssay.net

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