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The distinction between one-tailed and two-tailed tests was popularized by Ronald Fisher in the influential book Statistical Methods for Research Workers, [7] where he applied it especially to the normal distribution, which is a symmetric distribution with two equal tails. The normal distribution is a common measure of location, rather than ...
The test is named after its inventor, Ronald Fisher, ... This gives a one-tailed test, with p approximately 0.001346076 + 0.000033652 = 0.001379728.
Fisher proposes the level p=0.05, or a 1 in 20 chance of being exceeded by chance, as a limit for statistical significance, and applies this to a normal distribution (as a two-tailed test), yielding the rule of two standard deviations (on a normal distribution) for statistical significance. [53]
Ronald Fisher. Statistical Methods for Research Workers is a classic book on statistics, written by the statistician R. A. Fisher.It is considered by some [who?] to be one of the 20th century's most influential books on statistical methods, together with his The Design of Experiments (1935).
For example, if both p-values are around 0.10, or if one is around 0.04 and one is around 0.25, the meta-analysis p-value is around 0.05. In statistics, Fisher's method, [1] [2] also known as Fisher's combined probability test, is a technique for data fusion or "meta-analysis" (analysis of analyses). It was developed by and named for Ronald Fisher.
In 1925, Ronald Fisher advanced the idea of statistical hypothesis testing, which he called "tests of significance", in his publication Statistical Methods for Research Workers. [28] [29] [30] Fisher suggested a probability of one in twenty (0.05) as a convenient cutoff level to reject the null hypothesis. [31]
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In a test for under-representation, the p-value is the probability of randomly drawing or fewer successes. Biologist and statistician Ronald Fisher. The test based on the hypergeometric distribution (hypergeometric test) is identical to the corresponding one-tailed version of Fisher's exact test. [6]