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. Author manuscript; available in PMC: 2015 May 6.
Published in final edited form as: J Hand Surg Am. 2009 Dec;34(10):1872–1881. doi: 10.1016/j.jhsa.2009.08.001

Table 1.

Types of Statistical Tests

Goal of Analysis Is there a difference between the variables in two different groups? (H0: There is no difference between the means, medians, or distributions in the populations.) Is there an association or relationship between two variables in the population? (H0: There is no association between the variables.)
Type of Data Continuous Categorical
Parametric Unpaired Student’s t-test Paired Student’s t-test Pearson correlation coefficient None.
Nonparametric Wilcoxon rank- sum test* Wilcoxon signed- rank test Spearman’s correlation coefficient Pearson’s Chi Square Test of Independence & Fisher’s exact test
*

The Wilcoxon rank sum test is also known as the Mann-Whitney U test.

The unpaired Student’s t-test and the Wilcoxon rank-sum test involve unmatched pairs of data. In contrast, as the name suggests, the paired Student’s t-test and its counterpart, Wilcoxon signed-rank test, involve matched pairs.

These non-parametric tests may involve either ordinal or continuous data.