NON-PARAMETRIC TESTS

Question 1

Mann-Whitney test

Answer 1

Nonparametric test to determine whether medians of two independent or unpaired samples (possibly of different size) are the same. Also called Wilcoxon sum rank test.

Question 2

McNemar’s test

Answer 2

Nonparametric test for comparing paired samples where the output is yes/no (or A/B, or 0/1, etc.).

Question 3

Nonparametric test

Answer 3

Statistical test that makes no assumptions about the population distribution from which the data is sampled. Nonparametric tests often focus on the median.

Question 4

Paired samples

Answer 4

Data with two different outcomes for each data point. Often helpful for comparing the method that generated outcome #1 with the method that generated outcome #2 to see which is better

Question 5

Parametric test

Answer 5

Statistical test that assumes the data being tested is sampled from a distribution governed by certain parameter(s). Parametric tests often focus on the mean.

Question 6

Wilcoxon signed rank test

one sample) / (paired samples

Answer 6

Nonparametric test for a single response, to determining whether the median is different from a specific value. comparing medians of paired samples where the output is quantitative