Quote:
Originally Posted by La Peste
See I didn't know what to think about sample sizes on certain hands, but I guess after a few hundred hands of the same hand, in the same position that this is something that converges faster than random hands? Anyone know how to judge how many hands you need before you can tell a hand is profitable for you?
t-test which can be done with any standard stat software. For example say your results in a given spot are +1, -3, +6, then the following R code will work:
t.test(c(1,-3,6), alternative="less")
which results in:
One Sample t-test
data: c(1, -3, 6)
t = 0.5121, df = 2,
p-value = 0.6703
alternative hypothesis: true mean is less than 0
95 percent confidence interval:
-Inf 8.935272
sample estimates:
mean of x
1.333333
The bolded value tells you that there is a 67% chance you would get data this favorable or more favorable to the hypothesis that the mean win is 0 or worse.
Quote:
Originally Posted by tappokone
My HEM says that standard deviation is significantly higher with a specific hand I always play in a specific position than with all hands. In some cases win rates will be sky high, so we can see relatively quickly that e.g. playing AKo in MP is profitable, but that shouldn't really apply to marginal hands at the bottom of your range.
If you're filtering for hands that you see the flop with, the SD is going to be much higher because you just filtered out a bunch of hands that all have the same value. i.e. data of -3, 4, 5, 0, 0, 0 has a lower SD then -3, 4, 5. Also the better the hand the higher the SD because you will be putting in more bets on average and thus you will either have a large positive result or a large negative result.