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The difference between chi-square test and F test
Chi-square test is to find the consistency of two data sets with frequency, and F test is to test the significance of the difference between the two groups of values.
The former only discusses the frequency of events, such as whether mice have cancer; Cancer record is 1, and no cancer record is 0;
The latter is a quantitative value, such as the weight of cancer.
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