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View Poll Results: Assuming the described SETUP, which of these are call-the-BB hands? | |||
22 | 9 | 8.74% | |
32s | 1 | 0.97% | |
43s | 1 | 0.97% | |
54s | 2 | 1.94% | |
65s | 2 | 1.94% | |
76s | 3 | 2.91% | |
87s | 5 | 4.85% | |
98 | 0 | 0% | |
98s | 12 | 11.65% | |
T9 | 1 | 0.97% | |
T9s | 24 | 23.30% | |
JT | 11 | 10.68% | |
QT | 9 | 8.74% | |
KT | 23 | 22.33% | |
Voters: 103. You may not vote on this poll |
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#1
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Quick poll about sample size
Ok I have my opinion here , but I just wonder what the general idea is;
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#2
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Re: Quick poll about sample size
SQRT(17**2*1000)/1000 = .537
So after 100000 hands, you are 68 percent certain that your winrate is within a half big bet of what you have experienced. I would guess that you could be confident in your winrate with a smaller sample, if for instance, you knew several other players, who played similarly to you, and alse were experiencing similar winrates to you. That way, we could combine samples, and after 50K hands, each we might feel more confident of our winrate. If there were a whole bunch of us, and we all combined our samples after 50k, then we would be fairly certain that our winrate was accurate. Hey, that's kinda what we did here, isn't it [img]/images/graemlins/grin.gif[/img]? |
#3
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Re: Quick poll about sample size
You can have 95% confidence in your winrate after any number of hands. Obviously the more hands you play, the more you can narrow it down. The formula for a 95% confidence interval is:
Mean +/- 1.96*s/root(n) s: standard deviation/100 hands n: # of hands played (in hundreds) Brad |
#4
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Re: Quick poll about sample size
One time bump.
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