Quote:
Originally Posted by Jay Random
Statistical significance is a concept that applies to samples drawn from populations, and the null hypothesis is that the population did not change when different samples were taken. That concept does not even apply in a case such as this, where the data are not sampled, but collated for the population as a whole.
No one provides what you're asking for because it isn't a possible question. By definition, a sample of 100% of the population is always statistically significant.
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Except that people use part of the season (for example, the first 29 games) to represent the season, and as such it is a sample.
Also, if each data set is in fact its own population, then extracting meaningful information from it, with respect to providing insight into the future, is also, by definition, not valid. Either it is a subset of the universe of data, and thus valid for analysis, or it is its own data set, and thus of little value.
This also doesn't solve or address the problem of non-isolated variables, and the amount of noise in the data.
These criticisms are not addressed at you, but at the data.