John Wilder Tukey (/ ˈtuːki /; [3] June 16, 1915 – July 26, 2000) was an American mathematician and statistician, best known for the development of the fast Fourier Transform (FFT) algorithm and the …

The Tukey Test (or Tukey procedure), also called Tukey’s Honest Significant Difference test, is a post-hoc test based on the studentized range distribution. An ANOVA test can tell you if your results are …

Nov 26, 2018 · The Tukey test is a post hoc test in that the comparisons between variables are made after the data has already been collected. This differs from an a priori test, in which these …

Tukey's method for multiple comparisons is used in ANOVA to create confidence intervals for all pairwise differences between factor level means while controlling the family error rate to a level you …

Dec 24, 2020 · This tutorial explains the difference between the Tukey, Bonferroni, and Scheffe post-hoc tests, including examples.

Tukey is credited with the invention of many methods, both graphical and numerical, that are extremely effective in statistical applications. Tukey has done work in time series analysis, exploratory data …

Unequal sample sizes It is possible to work with unequal sample sizes. In this case, one has to calculate the estimated standard deviation for each pairwise comparison. The Tukey procedure for unequal …

The Tukey test is a post hoc test used in statistics after an ANOVA test has rejected the null hypothesis. Its purpose is to identify which specific pairs of group means are significantly different from each other.

There are several multiple comparison procedures that can be employed, but we will start with the one most commonly used, the Tukey procedure. In the Tukey procedure, we compute a "yardstick" value …

But it doesn't tell you which groups differ from which (In the T-test, there are only two groups, so the question does not arise). This is where a Tukey's post-hoc test comes in.