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- John Tukey - Wikipedia
John Wilder Tukey ( ˈ t uː k i ; [2] 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 box plot [3]
- What Is The Tukey HSD Test? - Sciencing
The Tukey HSD test is a way of reporting ANOVA results and determining if the relationship between three independently varying quantities is statistically significant It relies on first collecting values from a standard ANOVA test and then using specialized programs or sites for the Tukey HSD
- Tukey Test Tukey Procedure Honest Significant Difference
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 significant overall, but it won’t tell you exactly where those differences lie
- How to Perform Tukey’s Test in R - Statology
One of the most commonly used post hoc tests is Tukey’s Test, which allows us to make pairwise comparisons between the means of each group while controlling for the family-wise error rate This tutorial explains how to perform Tukey’s Test in R
- xkcd: Tukey
This work is licensed under a Creative Commons Attribution-NonCommercial 2 5 License This means you're free to copy and share these comics (but not to sell them) More details
- John Wilder Tukey - University of Minnesota Twin Cities
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 analysis, and multiple comparisons that is considered revolutionary
- What is Tukeys method for multiple comparisons? - Minitab
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 specify
- John Tukey - Utah State University
Tukey wrote his first paper in mathematical statistics in 1938 and wrote solely about mathematical statistics starting in 1944 In the 1960s, he began trying to answer how to determine whether two variables are associated and if their association shows causation
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