Re: Normality of winrates
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I would be surprised if per hour win rates were far from being normal.
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I used per hand win rates. Bruce is most likely right.
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Sorry, I didn't notice that you said "per hand". That is definitely the problem. Try per 30, 50, 100, 120... hands, and let us know at what point you get good normality. I just meant that the theory does not guarantee these will be normal until each data point represents a large enough number of hands. It's possible that you could get decent results sooner as BillC suggests. Even for fairly ugly skewed distributions, you don't have to add many points before the sum starts to follow a bell curve. Basically, each additional hand causes the distribution to be convolved again with the per hand distribution, which is a smoothing operation.
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