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Instead, choose the Tukey test if you want to compute confidence intervals for every comparison or the Holm-Šídák test if you don't. •Following two-way ANOVA.

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The critical values of q for Tukey multiple comparisons is explained in reference 2. C code can be found here. The critical values of q for Dunnett's test are ...

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CLD Two-way ANOVA. Tukey's multiple comparisons test. Predicted (LS) mean diff. 95.00% CI of diff. Below threshold? Summary. Adjusted P Value. Serum starved ...

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Report multiplicity adjusted P value for each comparison. If you choose the Bonferroni, Tukey or Dunnett multiple comparisons test, Prism can also report ...

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Tukey's multiple comparison tests were used to compare all pairs of means (table above). You only care about the first comparison -- control vs. treated -- ...

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Prism can compute multiplicity adjusted P values following Bonferroni, Holm, Tukey or Dunnett multiple comparison testing. Check the option in the third tab ...

GraphPad FAQs

The variable q is used as part of the results of the FDR approach to multiple comparisons, and as part of the Tukey and Dunnett multiple comparisons tests.

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Prism can compute a multiplicity adjusted P value for each comparison for many multiple comparison methds: The methods of Tukey, Dunnett, Bonferroni, Sidak, ...

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Surprisingly, there are multiple ways to compute these percentile values. ... The chance of finding one or more "outlier" by Tukey's rule in data sampled from a ...

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You'll choose the exact test on the Options tab, but Tukey's test is used most often. Compare the mean of each column with the mean of a control column. It ...

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