NON-PARAMETRIC TESTS

Question 1

 used to compare paired data by evaluating the direction of differences (ignoring magnitude)

Answer 1

SIGN TEST

Question 2

 compares two independent groups to determine if their population distributions are different based on ranks, rather than the actual data values

Answer 2

WILCOXON RANK SUM TEST
MANN-WHITNEY U TEST

Question 3

 compares two related (paired) samples, measuring whether their population mean ranks differ (tests for differences in medians)

Answer 3

WILCOXON SIGNED RANK TEST

Question 4

 compares the medians of two or more groups to determine if they come from populations with the same median

Answer 4

MEDIAN TEST

Question 5

 non-parametric alternative to one-way ANOVA, used to compare three or more independent groups to determine if they come from the same distribution, using ranks

Answer 5

KRUSKAL-WALLIS RANK TEST

Question 6

 non-parametric alternative to one-way ANOVA, used to compare three or more independent groups to determine if they come from the same distribution, using ranks

Answer 6

KRUSKAL-WALLIS RANK TEST

Question 7

 used to compare three or more related groups (repeated measures) to see if their distributions differ

Answer 7

FRIEDMAN TEST

Question 8

 compares groups by shuffling the data labels and recalculating the test statistic, helping to determine if the observed effect is due to chance

Answer 8

PERMUTATION TEST

Question 9

The test compares the variances of two or more related groups when data is not normally distributed.

Answer 9

COCHRAN TEST