F test (F-test), the most commonly used alias is called joint hypotheses test (English: joint hypotheses test), and is also called variance ratio test and homogeneity of variance test.
It is a test in which the statistical value obeys the F-distribution under the null hypothesis (H0). It is usually used to analyze statistical models that use more than one parameter to determine whether all or part of the parameters in the model are suitable for estimating the population. (Recommended learning: webfront-end video tutorial)
The F test was named by the American mathematician and statistician George W. Snedecor, in memory of the British statistician and biologist Ronald Aylmer Fisher. Fisher invented this test and F allocation in the 1920s, originally called the Variance Ratio.
Calculate the square of the sample standard deviation##, that is:
S2=∑( - )2/ (n-1)
Two sets of data can get two S2 values
F=S2/S2'
Then the calculated F value is compared with the F table value obtained by looking up the table. If
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