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Its like having Kelsey Plum, play against Breanna Stewart, a complete mis-match, even though Kelsey isn't a bad player.The study indicates that historically black colleges are whistled for 1.5 more fouls per game over a 10 year period, but there is no discussion of potential contributing factors or whether 1.5 fouls per game is statistically significant.
Historically black colleges do not get anywhere near the same level of talent as the top WBB programs in the country, and they don’t have the financial resources to hire the top coaches either. These programs do a wonderful job, but when a school like Howard steps on the floor against MD, they are severely overmatched in terms of size, athleticism and coaching.
So here’s a couple of hypothesis. Historically dominant WBB teams commit fewer fouls than historically weaker teams. Teams with size and athleticism commit fewer fouls than teams without size and athleticism. Teams with experienced, well paid coaches commit fewer fouls than teams that don’t have similar resources.
This article brings to mind the quote, “There are three kinds of lies: lies, damned lies and statistics.”
It always looks so strange to see his name spelled "Gino". Clearly the writer is clueless...
It always looks so strange to see his name spelled "Gino". Clearly the writer is clueless...
This article brings to mind the quote, “There are three kinds of lies: lies, damned lies and statistics.”
Statisticians will often find a seeming correlation between an independent variable, i.e. historically black colleges, and a dependent variable, # of fouls called per game, when the relationship has little to nothing to do with the 2 variables. My earlier hypothesis suggests that the # of fouls has much more to do with a team’s talent, size, athleticism and the quality of coaches than the historical designation of the college itself.Years ago I worked with brilliant fellow who developed a methodology for forecasting computer and data network usage by relating them to actual business transactions and business plans. His mathematics was spot on, however, he encouraged us to determine exactly what was the relationship and why there exists a relationship because some of the mathematical correlations were sure to be false. Dr. Dix found a correlation but has no knowledge of what exactly is the relationship and why there is a relationship. So he speculates. Why? Because he and his work gain notoriety. No doubt his methodology should be checked. Guys like him typically work the numbers to the conclusion they desire. I have reviewed several computer simulations only to discover the engineer manipulated the inputs to achieve his management's desired result for budgetary purposes.