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re: Ole Miss has the widest potential W-L variance.

Posted on 7/15/13 at 12:34 pm to
Posted by KaiserSoze99
Member since Aug 2011
31669 posts
Posted on 7/15/13 at 12:34 pm to
quote:

Typically we think of variance in terms of all the cases, not just one case. In this example, Ole Miss would be a single case, and we would have an observed number of wins and losses for them. If we had all of the other cases (all of the other teams) we could calculate the win-loss variance. Obviously, this way of thinking about variance is much different from the way you are using it.

Another way of thinking about variance would be to imagine that we could simulate Ole Miss' season. In this scenario, each sim would be a "case" and we could calculate a variance for those sims.

Of course, that can't happen, as Ole Miss will only play the 2013 season once.

Anyways...it seems a trifling point, but I think what you are REALLY trying to say is that the probability that Ole Miss wins several important games is close to .50. Of course, these probabilities are dependent on various factors including the personnel, coaches, game locations, injuries, and prior performance, and they will change over the course of the season.

In all, I find your claim intriguing, although I think it is a bit more complicated than you make it out to be.

I enjoy a good academic discussion, but holy shite.


I couldn't think of a better way to state it, so "variance" was the word choice. Forgive my misuse.
Posted by TxTiger82
Member since Sep 2004
33963 posts
Posted on 7/15/13 at 12:38 pm to
quote:

I enjoy a good academic discussion, but holy shite.


Ha well, this is what I do.

quote:

couldn't think of a better way to state it, so "variance" was the word choice. Forgive my misuse.


No big deal, the way you used it is actually quite fascinating. It would be really cool to simulate seasons and calculate variances based on those simulations.

It would be the same thing as sampling from a posterior distribution to derive asymptotic confidence intervals for effect estimates in a social science survey. We do that all the time.

Very cool.
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