Difference between revisions of "Hypothesis tests"
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==Comparing a quantitative variable between more than two groups== | ==Comparing a quantitative variable between more than two groups== | ||
| − | ===ANOVA=== | + | ===ANOVA (analysis of variance)=== |
| − | ===Kruskal-Wallis=== | + | ===Kruskal-Wallis test=== |
Revision as of 14:08, 5 May 2011
This page is intended as an introduction to some commonly used basic hypothesis tests. Before using any of these, it is important that the concepts behind hypothesis testing are understood. These concepts are explained on this page.
Hypothesis tests are very commonly used in epidemiological investigations, and a wide number of tests are available. These can be classified into groups according to the data types in question, according to whether a specific underlying distribution is assumed when performing the test (in which case, the test is known as a parametric test), and according to whether or not the data are matched or independent (i.e. whether comparisons are being made at the individual level or the group level).