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What is the difference between F-test and t-test?

The difference between t-test and f-test can be drawn clearly on the following grounds: A univariate hypothesis test that is applied when the standard deviation is not known and the sample size is small is t-test. ... The t-test is based on T-statistic follows Student t-distribution, under the null hypothesis. ... The t-test is used to compare the means of two populations. ...

What is the significance of the F test?

An F-test is any statistical test in which the test statistic has an F-distribution under the null hypothesis. It is most often used when comparing statistical models that have been fitted to a data set, in order to identify the model that best fits the population from which the data were sampled.

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