Statistics can be manipulated for the author's benefit, so sometimes we must be careful how must we trust them.
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Q1: non-parametric and parametric tests make different assumptions
Q2: Non-parametric tests assume that the data are
Q3: Nonparametric tests are still inferential tests.
Q4: All measurement scales can be manipulated with
Q6: Nonparametric tests do not necessarily test differences
Q7: skewed data is measured on a scale
Q8: The Mann-Whitney U-test is the nonparametric equivalent
Q9: The null hypothesis for a Mann-Whitney U-test
Q10: The Mann-Whitney U test is a nonparametric
Q11: When conducting a Mann-Whitney U-test, if your
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