January 12th, 2014 at 7:46:40 AM
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Is the standard deviation for individual hands in video poker simply the square root? For example, if expectation over 8900 hands for straights is 100, is the SD of those 100 straights 10? Or is it more complex?
January 12th, 2014 at 8:05:41 AM
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Yes, it is almost the square root, for sufficient "rare" events.
For an event occuring with probability p for N tries, expected number of events is N * p and standard deviation is sqrt(N * p * (1-p))
As for rare events 1-p is close to 1, you end up with sqrt(N*p), which is the square root of your observed events.
For an event occuring with probability p for N tries, expected number of events is N * p and standard deviation is sqrt(N * p * (1-p))
As for rare events 1-p is close to 1, you end up with sqrt(N*p), which is the square root of your observed events.
January 12th, 2014 at 8:09:41 AM
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it is the square root of variance. in this case it works out to beQuote: CarusoIs the standard deviation for individual hands in video poker simply the square root?
to keep it simpleQuote: CarusoFor example, if expectation over 8900 hands for straights is 100, is the SD of those 100 straights 10?
Or is it more complex?
you want the binomial standard deviation for the number of successes in 8900 trials.
for JOB you have the mean (N*P)
vp tables shows the variance (sd) for your bets. the money part.
that will not work for what you want to know, if I understand your question
still square root of variance
N*P*Q
for a fair coin flip the square root of the ev would have too much error
100 flips
p=0.50
ev= 50
sqrt = 7.07
N*P*Q = 25
sd = 5
extra credit
for the SD of P in OP example
P = 1.1229%
SD of P = 0.1117%
correct?
=(p*q)/n
now take the square root
now take the square root
winsome johnny (not Win some johnny)