Statistics - t-testDate: 01/15/2002 at 17:52:25 From: Pierre Flute Subject: Statistics - t test I am comparing scores of basketball games to see if playing at home is an advantage over playing away. I looked in a math book and it said to use a t-test. I have 253 games on an Excel spreadsheet. Excel did the t-test but I don't know if I am right in doing the t-test. Are there any other tests I should do instead or in addition? So far, I also have the mean of home scores, mean of away scores, difference between the means, total games, total home wins, total away wins, and percentage of home and away wins. Date: 01/17/2002 at 07:33:57 From: Doctor Mitteldorf Subject: Re: Statistics - t test Dear Pierre, The t-test is fine, and it may be all you need for this project. If you'd like to write back with the numbers and show exactly what you did, I'd be glad to check it and help you interpret your results. Here's an idea for a project that you might like to take on. It's an example of a "Monte Carlo Simulation." The beauty of this approach is that it makes no assumptions about your data, so it produces the most unbiased answer available. It avoids pre-conceived ideas about what standard tests might be relevant. Here's what to do. Take all 506 team scores, home and away, and make a single list of them. Shuffle the list to put them in a random order. Then pretend that the first two scores made a "game" and mark "H" for home if the first team won, and "A" for away if the second team won. How many more games did the home team win than the away team? If the difference was greater than you observed in real life, call that an "exceedance." Now repeat this whole process a million times. You'll want to do this with a computer program, not by hand. (You can do it on a spreadsheet if you want, but you can only fit a few thousand trials on common spreadsheet programs. A language like BASIC or LOGO or PASCAL will be faster and let you use bigger numbers.) You'll do a million shuffles, and a million sets of games, each set having 253 games in it. Of those million trials, how many had more exceedances than you had in real life? That's an important number, because it gives you an idea how often you might expect the difference you got by chance. Say there were 100,000 exceedances out of a million. That would indicate there was a 10% chance that your results could have been just a chance occurrence. Not very impressive. But if you only had 10,000 exceedances, that would be the basis for saying that maybe you were looking at somethig real. You might also do the same kind of simulation, but count the point differences instead of the number of wins. An "exceedance" would then be defined as a trial in which the point difference was greater than what occurred in real life. - Doctor Mitteldorf, The Math Forum http://mathforum.org/dr.math/ |
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