Use the data cutting tool from the US Dept. of Education to c/c program finances across at
Question:
Use the data cutting tool from the US Dept. of Education to c/c program finances across at least three schools that have something in common. Go to Equity in Athletics data analysis.
As an example, I have grabbed some data on two public, state universities who play in the same Power 5 conference. They are from the same state and are just over 100 miles apart. One school is known as a men’s basketball school while the other is not (it’s just fine, but wouldn’t be considered a powerhouse program). When examining the expenses, they’re comparable:
Basketball | $8,349,598 | $10,383,630 |
School B is the powerhouse, so it makes some sense that expenses would be ~20% higher. I’d have thought the disparity would be even greater after reading the chapter and seeing player spending/franchise valuations in pro sports where the biggest teams can be worth 5x as much as the teams at the bottom. Interestingly, revenues are nowhere near comparable.
Basketball | $10,609,465 | $22,437,254 |
School A doesn’t generate even half of what its fellow state school does in MBB. Revenues are more closely connected to valuation than expenses, so it makes sense that this powerhouse dwarfs the other.
The difference between what you will post and the above is formality and you should also incorporate other relevant details and refer more precisely to course material (i.e., be more specific about pro valuations, in this particular case).
Materials and process in manufacturing
ISBN: 978-0471656531
9th edition
Authors: E. Paul DeGarmo, J T. Black, Ronald A. Kohser