Sat13November1123AM 7

Is it true that the following statistical tests are non-parametric and can be used where data are not normally distributed?

True / False

Mann-Whitney U test Correct

Paired t test Correct

Wilcoxon signed rank test Correct

Analysis of variance (ANOVA) Correct

Fisher's exact test Incorrect answer selected

Explanation

Parametric tests are simpler than non-parametric tests and rely on a number of assumptions about the data being studied. They are therefore accurate where data fit a "normal" distribution.

The more complex non-parametric tests make fewer assumptions about the data and have wider applicability.

Analysis of variance (ANOVA) is a parametric test.

Fisher's exact test can be used for non-parametric categorical data.

Mann-Whitney U test is a non-parametric alternative to the unpaired t test.

Paired t test is a parametric test that is only suitable for normally distributed data.

Wilcoxon signed rank test is a non-parametric alternative to the paired t test.

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Average score: 67.41%

Times answered: 243