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.

Given that 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.

Minitab results are

[tex]Difference = mu (F) - mu (M)\\T-Test of difference = 0 (vs not =): T-Value = 0.23 \\P-Value = 0.817 \\DF = 46[/tex]

Since p value >0.05 our alpha significant level we accept null hypothesis that

difference in means =0

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

.Option A