Which of the following statements is not true of parametric statistics?

Which of the following statements is not true of parametric statistics?

They are inferential tests.

They assume certain characteristics of population parameters.

They assume normality of the population.

They are distribution-free.

Question 2 Assume you are conducting a study and find that the data violate all the assumptions of the statistic you had planned to conduct, what are your alternatives?

Conduct the statistical test since there will be no evidence of the error.

Run the study again and hope the data are better.

Conduct a nonparametric statistical test.

Change the research question.

Question 3 Under what circumstances would you use a non- parametric test?

In a pilot study.

When your data does not meet the assumptions for a parametric test.

When you think your sample size is too big.

When you do not really understand a parametric test.

Question 4 Nonparametric tests are just as powerful as their parametric counterparts.

True

False

Question 5 The Mann-Whitney U test is the nonparametric counterpart for which parametric test?

One-sample t-test.

Two-dependent sample t-test

Two-independent sample t-test.

Kruskal-Wallis Test

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