11-02-2007, 05:07 PM | #21 | |
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Bottom line is if they have shit schedules year after year in the future, the season ticket holders will get tired and quit paying the prices they now pay. Indy can pull all of the statistics he wants out of his ass to try and disprove that, but that is what will happen. Right now they haven't damaged the schedule enough to cause that. However, those who think they don't have to play the big boys as they have in the past and things will still be fine are just dreamin a dream. Everyone is entitled to an opinion. However, I feel some people are like the libs. Figuring out ways other people can pay for there jollies. |
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11-02-2007, 05:11 PM | #22 | |
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I'm not talking about what BYU's future scheduling strategy should be. I provided no statistics showing what home attendance is relative to quality of home game opponents. I did not rip on LaVell. I did not excuse Crowton. |
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11-02-2007, 05:13 PM | #23 | |
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11-02-2007, 05:15 PM | #24 | |
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11-02-2007, 05:16 PM | #25 |
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Because you continue to harp on this subject in this thread even after you created a new thread. I've left your new thread alone so you can rehash in peace over there.
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11-02-2007, 05:34 PM | #26 | |
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But as crappy as that 1984 schedule it was, it was eons better than what Hawaii's thrown together this year. It's seriously, not even close - can you at least admit that?
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11-02-2007, 05:37 PM | #27 | |
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Crowton is not my relative, but he is irrelevant to this thread.
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11-02-2007, 05:39 PM | #28 | |
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Sorry Indy, but I just don't communicate with anal people very well. It is all my fault. |
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11-02-2007, 06:07 PM | #29 |
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Maybe he missed it, but I can answer it. The principle of statistical significance does not apply here. In statistics you compute statistical significance when you are dealing with a representative sample of a larger whole (ie., surveying 400 people to determine what the whole population must look like) to see if the difference observed between two subsets of that sample (or from one sample to another) is a real difference or is due to sampling error. Indy has supplied the entire population in this case, so statistical significance is irrelevant. Make sense? Whether the difference in winning percentage is important or not here is a matter of opinion. No need to compute whether it's a real difference or if it's due to sampling error. We can say with 100% confidence that it is what it is because we're dealing with the whole and not samples of the whole.
Last edited by BlueK; 11-02-2007 at 06:11 PM. |
11-02-2007, 06:12 PM | #30 |
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Here's one way to look at it: after 1,400 at bats, see how long it takes to raise your batting average from .486 to .513.
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