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 …

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

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 …

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.

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 …

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.

Tukey popularized exploratory data analysis. This is the practice of looking at data summaries, especially graphical summaries, before conducting any inference.

Tukey named the jackknife procedure and intro-duced it as a general estimate of variance. It provides an indication of the uncertainty of an estimate by judiciously combining estimates based on subsets of …