Dunnett's test is one of a number of a posteriori or post hoc tests, run after a significant one-way analysis of variance (ANOVA), to determine which differences are significant. The procedure was introduced by Charles W. Dunnett in 1955. It differs from other post hoc tests, such as the Newman–Keuls test, Duncan's Multiple Range test, Scheffé's test, or Tukey's Honestly Significant Difference test, in that its use is restricted to [Page 396]comparing a number of experimental groups against a single control group; it does not test the experimental groups against one another. Background information, the process of running Dunnett's test, and an example are provided in this entry.
A one-way ANOVA tests the null hypothesis (H0) that all the k treatment means are equal; that is,
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