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View Poll Results: KQo | |||
raise | 38 | 71.70% | |
fold | 11 | 20.75% | |
call | 4 | 7.55% | |
Voters: 53. You may not vote on this poll |
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#11
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Re: NL Bots on Full Tilt
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[ QUOTE ] [ QUOTE ] [ QUOTE ] WTF, I'm rusty on my statistics, but are you going to tell me that a .5% difference in VPIP over 100,000 hands is 3 SD's? [censored], post your math. [/ QUOTE ] (14%)*(1-14%)/sqrt(100000) = .038% = 1SD Of course it's higher than that because all 100,000 decisions are not independent identically distributed. [/ QUOTE ] I think the test statistic formula is .005/sqrt(.14*.86/100000) = 4.6 Assuming independence, and I'm just using a textbook formula for population proportions. [/ QUOTE ] We just went over this last week at work.. (sigma) = squareroot( (sumation((x-change of x)squared) divided by n-1 [/ QUOTE ] I'm not sure what this refers to. But can't we also use the Goodness of Fit test for this? We have 4 suspected bots in the OP's screenshot: VPIP1: 14376/105366 = 0.136438699 VPIP2: 15840/112514 = 0.14078248 VPIP3: 11683/82577 = 0.141480073 VPIP4: 5721/41414 = 0.138141691 The total VPIP is 47620/341871 = 0.139292306 So if they are indeed botting, the expected hands played of the 4 bots should be: 14676.67 15672.33 11502.34 5768.65 respectively Throwing it into my calculator for GOF, using 3 degrees of freedom, we get a p-value of .0108, which means there's just over 1% chance that this happened by chance if we assume the 4 players were using a similar strategy. |
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