The purpose of this discussion is to allow you to consider how various non-parametric tests are usedand how they compare to other tests with similar variables

The purpose of this discussion is to allow you to consider how various non-parametric tests are usedand how they compare to other tests with similar variables. To do this, you will need to identify theappropriate application of course-specified statistical tests, examine assumptions and limitations ofcourse-specified statistical tests, and communicate in writing critiques of statistical tests.




Describe the chi-square goodness-of-fit test. Provide a detailed explanation of what this test measures, and how it is similar to and different from the independent t-test and the chi-square test of independence. How do you know when to use one analysis over the other? Provide a real-world example.

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The values in a chi-square distribution are always greater than 0 and can be quite large, are normally distributed, less than 1, are neg. skewed

1) The values in a chi-square distribution are always greater than 0 and can be quite large, are normally distributed, less than 1, are neg. skewed 2) Chi-square tests assess whether 2) interval variables are associated, the means of 2 samples differ significantly from each other, the observed data differ from the pattern expected given the null hypothesis 3) The nonparametric equivalent of the Pearson correlation coefficient is the: Kruskal-Wallis H test, chi square, Wilcoxon signed-rank test, Spearman rank-order correlation coeffcient 4) The expected frequencies across all cells of the chi square should: always add up to the size of the sample, always add up to the size of the population, be 5X the number of participants, be 3X the number of participants 5) A chi-square test for goodness-of-fit for which there are 4 categories and 20 participants would have 57, 19, 3, 16 degrees of freedom
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