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Here's my question: Does the proportion of students who are men exercise a different amount per week than the proportion of students who are women?

I have this really large excel file. The first column is m or f (male or female) and is completely random. The second column are the hours of exercise per week for that individual. I've added up the sum of the hours for male students and it was 1007 hours. I counted the number of male students as well, and found that to be 187. I did the same for the female students, and found the total number of hours of working out per week for them to be 1796. There were 277 female students total.

I suppose this is where I'm confused. I've stated my null hypothesis as p1 = p2 and my alternative hypothesis as p1 /= p2. I'm not sure what formula to use in order to calculate my test statistic though. Also, for calculating the critical value (or cut-off value, or whatever it's called), what would my degrees of freedom be? Sorry for the long post guys, I'm just simply lost. Appreciate any help. ]]>

I have a data set of 27 countries with data for the years 1998 to 2016 on female representation and revolution. I want a simple visualisation of if revolutions (or elections after revolutions) cause a larger change in female representation than regular elections.

My professor recommended dividing the countries into 3 groups. Countries that had revolutions, countries that were democracies in 1998 and still are now, and countries that weren't democracies in 1998 and still aren't now.

I feel like this should be very simple to do, my professor certainly seemed to imply it would be. But considering that there are so many countries, and that all their elections are in different years, I'm just not sure how I am meant to be able to visualise anything useful.

I've attached my data.

Does anyone have any recommendations?

Thank you for your attention!