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