Non-parametric tests offer alternatives to parametric tests. However, parametric tests are generally preferable to non-parametric tests. Which of the following is not a sufficient reason to use a non-parametric test? a. You failed to reject the null using a parametric test b. The data contains unusually high variances c. The data includes undetermined or infinite scores d. One or more of the assumptions of a parametric test have been violated
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Step 1: If we fail to reject the null hypothesis using a parametric test, it does not necessarily mean we should perform a non-parametric test. Show more…
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