Okay, so first you need to run through the question (ignoring the data) and find the key terms.
1) Display Gender information in a chart.
2) Plot age data in a "box plot". http://en.wikipedia.org/wiki/Box_plot
3) Calculate the central tendency and variability http://en.wikipedia.org/wiki/Central_tendency
4) What conclusion would you draw?
In order to create the box plot, you are going to need to decide how to break up the ages, and calculate the statistics for the sample. Since you don't have much data there, I think the assumption is that you will have a box chart with two sets of box-and-whiskers, one for the males and one for the females.
Given that decision, the first item isn't important - you really have just one chart needed, with one box-and-whiskers each for men and women.
In order to determine the box and whiskers for the chart, you'll have to calculate the mean age, the first and third quartiles, and the min and max ages.
That's of course, assuming that those are the "appropriate" measures of central tendency for this data set.
When you look at the box plots, determined as above, you should be able to make some conclusion about the ages of the people involved. Are the men significantly older or younger? Are the men or women more spread out, agewise?
If it looked like there was a big difference, I might put a third box, to show the entire population, and see if it gave me any clues as to what I should say.
Until you actually analyze the data and the charts that resulted, I can't give you much of a clue as to what the problem is looking for.
You can't post pictures here, but if you post the min, first quartile, mean, third quartile, and max here for each of the three groups (men, women, both), then I can tell you what those distros mean to me.