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In statistics, the Tukey–Duckworth test is a two-sample location test – a statistical test of whether one of two samples was significantly greater than the other. It was introduced by John Tukey, who aimed to answer a request by W. E. Duckworth for a test simple enough to be remembered and applied in the field without recourse to tables, let alone computers.
A location test is a statistical hypothesis test that compares the location parameter of a statistical population to a given constant, ...
Tukey's range test, also known as Tukey's test, Tukey method, Tukey's honest significance test, or Tukey's HSD (honestly significant difference) test, [1] is a single ...
In statistical hypothesis testing, a two-sample test is a test performed on the data of two random samples, each independently obtained from a different given population. The purpose of the test is to determine whether the difference between these two populations is statistically significant .
John Wilder Tukey (/ ˈ t uː k i /; 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. [2] The Tukey range test, the Tukey lambda distribution, the Tukey test of additivity, and the Teichmüller–Tukey lemma all bear his
The House rejected a Republican bill to avoid a government shutdown after President-elect Donald Trump, billionaire Elon Musk and the far-right blew up an earlier, bipartisan deal.
Tukey's range test – multiple comparisons; Tukey's test of additivity – interaction in two-way anova; Tukey–Duckworth test; Tukey–Kramer method; Tukey lambda distribution; Tweedie distribution; Twisting properties; Two stage least squares – redirects to Instrumental variable; Two-tailed test; Two-way analysis of variance; Type I and ...
Exact test; Location test; Paired difference test; Separation test; Structural break test; A. ... Tukey–Duckworth test; Tukey's range test; Tukey's test of additivity;