Part a)
We have that,the distribution of finishing time for men was approximately normal with mean 242 minutes and standard deviation 29 minutes.
We want to calculate and interpret the standardized score for Clay's marathon time, if the finishing time for Clay was 289 minutes.
We use the formula:

we substitute the values to get:


This means Clay's finishing time is 1.62 standard deviation above the mean finishing time.
Part b)
This time, we have that, the distribution of finishing time for women was approximately normal with mean 259 minutes and standard deviation 32 minutes.
We want to find the proportion of women who ran the marathon that had a finishing time less than Kathy if the finishing time for Kathy was 272 minutes.
We first calculate the z-score to get:

From the normal standard distribution table P(z<0.41)=0.6591.
This means 65.91% of women had a finishing time less than Kathy's finishing time.
Part c
The standard deviation of a data set tells us how far away the individual data are from the mean.
If the standard deviation of finishing time is greater for women than men, it means the finishing time for women are farther from the mean finishing time than that of men.