An instructor was interested in seeing if there was a difference in the average amount of time that men and women anticipate studying for an introduction to statistics course in the summer. a group of men and women were randomly selected from the university of florida. the minitab results are below. what is the best interpretation of the results below? difference = mu (f) - mu (m)t-test of difference = 0 (vs not =): t-value = 0.23 p-value = 0.817 df = 46a. with a p-value of 0.817, that there is no statistically significant evidence of a difference in average anticipated amount of time studying between the men and women. b. with a p-value of 0.23, that there is no statistically significant evidence of a difference in average anticipated amount of time studying between men and women. c. we are 23% confidence that there is no statistically significant difference between the anticipated study time between men and women for this course. d. with a p-value of 0.817, there is statistically significant evidence of a difference in average anticipated amount of time studying between men and women. e. we are 81.7% confidence that there is no statistically significant difference between the anticipated study time between men and women for this course. f. with a p-value of 0.23, there is statistically significant evidence of a difference in average anticipated amount of time studying between men and women.