Which of the following is NOT true of the F test statistic? Choose the correct answer below. A. The F test statistic is never negative. B. If the F test statistic is large, then the P-value will be large. C. Fequals=StartFraction MS (treatment) Over MS (error) EndFraction MS (treatment) MS (error) , when testing with unequal sample sizes D. Fequals=StartFraction (variance between samples) Over (variance with samples) EndFraction

The correct answer is;

B. If the F test statistic is large, then the P-value will be large.

Step-by-step explanation:

The P-value in the statistic indicate the chance that the results of a statistic is random. High quality p-value of 0.9 for example, indicate a 90 % chance that the statistic is random, while a p-value of 0.2 indicates that there is a 20 % chance there that the statistical result is random.

P-value is part of the requirement for accepting the null hypothesis.

As expressed above, the p-value is the level of likelihood therefore a large F test statistic can have a small p-value.