Quote:
Originally Posted by Tex
Indy, did you miss this question?
Crowton is not my relative, but he is irrelevant to this thread.
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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.