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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.

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 mens basketball school while the other is not (its just fine, but wouldnt be considered a powerhouse program). When examining the expenses, theyre comparable:

Basketball

$8,349,598

$10,383,630

School B is the powerhouse, so it makes some sense that expenses would be ~20% higher. Id 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 doesnt 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).

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