Answer:
The correct answer is;
B. If the F test statistic is large, then the P-value will be large.
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.