College Sports Attendance & Gender – Final Update

First off, I took another approach to look at the data set. I used the controlled ratio I discussed in my previous post and compared the average value for basketball conferences. I took the average ratio for each conferences and then grouped the larger, well-known conferences known as the Power 6 (Big Ten, Big 12, SEC, ACC, Big East, Pac-12) and compared them to the smaller mid-major conferences. I would have done this for the other sports but basketball was the only one where almost all the schools had their men’s and women’s teams in the same conference. I’ve posted the graph below (found out how to make high-res pictures in RStudio, so now they’re a little more readable readable; any remaining issues I’m blaming on this site).

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College Sports Attendance & Gender – Update 2

So I decided to add a little more to the project than I had originally planned. Considering the website I was using to collect data had data all the way back from 2009, I thought seeing how differences were playing out over time would be interesting to see. I also decided to reevaluate the ratio I was using earlier. The way I was calculating ratios made comparisons between schools effective. However, the t-tests I was running were focusing on the differences between the men’s and women’s ratio. Programs that were large had a big difference between the ratios that implied that one program would be way more popular than the other, when actually the difference was fairly small relative to the attendance size. I decided for each school to divide the women’s ratio by the men’s ratio; value below one shows that the program attendance favors the men’s team; values above one favor the women’s team.

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Differences in Viewership of Men’s and Women’s College Sports

My research question is: Is there evidence to suggest that there exists gender discrimination from consumers in the market for college sports? I plan to examine differences in attendance of comparable men’s and women’s college sports to see what factors can explain the gap and whether they are the responsibility.

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Abstract- Analysis of Relative Payroll Differences and Win Percentage in Major League Baseball

Many people, sports enthusiasts included, tend to believe the notion that teams with the most money win the championships. My project will look at data for the past ten years from Major League Baseball and examine if that is the case. Sports economists have shown that there is a positive correlation between payroll (amount of money a team pays its players) and the number of wins that team earns. I will be modeling my project off a previously published paper by Szymanski, Zimbalist, and Hall, using simple and multiple linear regression to model the effects of payroll on a team’s win percentage. I will be using my data set to answer different questions, such as whether money spent on a pitcher is more effective than money spent on a catcher or an outfielder; or if payroll size may be significant in the regular season by not in the post-season.