The value you originate from your statistics is known as the F-value or F-Statistic. The F-critical value is a specific value to which your F-value is compared. You can reject the null hypothesis

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Our critical value calculator supports statistics which are either: Z-distributed (normally distributed, e.g. absolute difference of means) T-distributed For example, in a two-tailed Z test with critical values -1.96 and 1.96

The formulae for the critical values involve the quantile function, Q, which is the inverse of the cumulative distribution function (cdf) for the test

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In the traditional version, you use the t score table and alpha value to find the appropriate critical value for the test. Remember to adjust the alpha value to reflect the nature of the test - one

Given these implications, critical values do not fall within the range of common data points. Which is why when a test statistic exceeds the critical value, a null hypothesis is forfeited. Again, use the variables above to refer to

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Critical Value for F. Select your significance level (1-tailed), input your degrees of freedom for both numerator and denominator, and then hit Calculate for F. Significance Level: 0.01 0.025