A manager wants to test whether two normally distributed and independent populations have equal variances. the appropriate test statistic for this test is a "F-statistics."

<h3>What is F-statistics?</h3>

An F statistic is a value obtained after performing an ANOVA test or even a regression analysis to determine whether the means of two populations differ significantly.

Some key features regarding the F-statistics are-

It is comparable to a T statistic from the a T-Test; a T-test would then inform you when a single result is statistically significant, whereas a F test would then tell you if a set of variables is statistically significant.
When determining whether your total results are significant, you must use the F statistic in conjunction with the p value. Why?
A significant result does not imply that all of your variables have been significant.
The statistic is simply comparing the cumulative influence of all the variables.

To know more about the F-statistics, here

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