Re: Normal Distribution -- Applicable to Winrates?
A few more thoughts on normal distribution.
Firstly the results cannot be true normal distribution, as there is a limit on how much you can win/lose in one hand. Playing limit hold'em, you can not lose more than 1,200 BB/100 hands and can only win max 10,800 BB/100 hands.
But what you can also do is to test how well your session winrates fits to a normal distribution with mean value and std. dev. That would increase your confidence in the confidense interval you have established (in my earlier post). You might be able to find a better distribution which would give you a better model.
What you cannot do is to assume that you have a given distribution without testing how likely it is to be that kind of distribution. Though in cases like this a normal distribution is rather likely.
But if you get into a situation where you have few bigger losses and many small wins, perhaps you then aren't staying at the tables when winning as you should be.
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