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F-Test Calculator

F-test refers to any statistical test in which the test statistic has an F-distribution under the null hypothesis. In short, f-test is the ratio of two mean squares. The F Test is based on the F Distribution. F-test is mostly used for comparing the statistical models that have been fir to a data set to identify the model that best fits the population from which the data were sampled.

F-Test Calculator

Table of Contents:

    Formula

    F-VALUE=S12/S22

    Where,
    S12 is the variance of the first set of values and
    S22 is the variance of the second set of values;

    An F test is normally a test for the joint hypothesis that a number of coefficients are zero. Examples of F-Test includes the following:

    • The hypothesis that the means of multiple normally distributed populations, all having the same standard deviation, are equal. This is perhaps the most well-known of hypotheses tested by means of an F-test and the simplest problem in the analysis of variance (ANOVA).
    • The hypothesis that the standard deviations of two normally distributed populations are equal, and thus that they are of comparable origin.

    Example:
    Enter first set of values (Eg:2,3,4,5) = 2,4,1,3
    Enter second set of values (Eg:4,5,6,7) = 1,4,2,3

    Solution:
    Apply formula:
    F-VALUE=S12/S22
    F-value = 1