# standard deviation

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# standard deviation

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standard deviation

say:

we have two games

one game has SD = X and is played f% of the time

the other game has SD = Y and is played z% of the time

mathematically what is the proper way to calculate the ‘combined’ standard deviation?

I would start with this thread, which seems like it was active only a couple months ago, but is actually two years old, WTF?

say:

we have two games

one game has SD = X and is played f% of the time

the other game has SD = Y and is played z% of the time

mathematically what is the proper way to calculate the ‘combined’ standard deviation?

Assuming f and z are fractions rather than percents for simplicity.

Variance=(f*X^2+z*Y^2)

Sandard_Deviation=SquareRoot(Variance)

lol, so a rehash

I would start with this thread, which seems like it was active only a couple months ago, but is actually two years old, WTF?

lol, thanks as always, Canceler

but yeah, two years old, good reason i guess for not being able to remember how to do it, but hazily suspecting it had something to do with taking a square root before adding…. edit: (geesh, yeah two years, took that much time to realize how much i care about standard deviation)

some stuff you can just add, like i think EV is additive, other stuff, like standard deviation, errhh a bit trickier, lol

so this looks key here to me:

Yes. First of all, there’s a question of how you’re calculating SD to begin with. If you’re playing on a computer which is tracking your results by hand, that’s probably okay. SD(total) = sqrt(SD(1)^2 + SD(2)^2 + SD(3)^2).

But more often, SD is calculated from session wins, which means you calculate SD(total) = sqrt((ActualWin(1)-ExpectedWin(1))^2 + (ActualWin(2)-ExpectedWin(2))^2 + … (ActualWin(n)-ExpectedWin(n))^2).

Assuming f and z are fractions rather than percents for simplicity.

Variance=(f*X^2+z*Y^2)

Sandard_Deviation=SquareRoot(Variance)

ok, thank you ICNT.

so digressing a bit……

say you have in the case of blackjack

SD = Z for a hand of blackjack

so to get the standard deviation for N hands would it be:

Z*SQRT(N) ?

ok, thank you ICNT.

so digressing a bit……

say you have in the case of blackjack

SD = Z for a hand of blackjack

so to get the standard deviation for N hands would it be:

Z*SQRT(N) ?

yep that is why accumulated expectations overcome accumulated standard deviations as the number of hands increases, because the former (expectation) is proportional to the number of hands, while SD is proportional to the square root of the number of hands

yep that is why accumulated expectations overcome accumulated standard deviations as the number of hands increases, because the former (expectation) is proportional to the number of hands, while SD is proportional to the square root of the number of hands

heh, heh, funny you should mention that, cause that’s what i just noticed fooling around in excel with this stuff. kewl!

fixed is fixed

Those formulas are for fixed bets right? If you resize bets on wins and losses the long run is longer.