@rational decide if you wanna play this game or not . I toss a coin and you call if you win I give you 200$ if you lose you give me 100$ If I toss 10 times
il play if you let me give you the coin
haha are u sure ?
just want to make sure you're not using a custom made coin with some kind of robotic sensor lol
definitely, the expected value is positive here, so it is always wise to play this game
:P ur changing ur mind so quick
nope, i said il play the game if you let me give you the coin
oh so u wont let me toss it ?
i want the coin to be unbiased
haha ok so u would give me 200$ in case i guessed right ?
ugh no
lol ok
>.<
haha
success probability = 1/2 failure probability = 1/2 since you're giving me 200 for success, and i just need to give you 100 for failure, il be making profit in the long therm
He wants it to be a fair coin, he is not trying to trade you your fair coin for his unfair coin.
exactly ^
ok @rational i wont play it with u :P at least i would loose 100$
in 10 tosses, you will be loosing $500 i guess
i said at least 100$
smallest case me to guess wrong 7 times
worst case to guess wrong 10 times i would lose 1000$
if it is your lucky day, you might win all 10 tosses! who knows!
im lucky in those games :P
unless you are capable of flipping with identical spins of the coin...
then you may have an issue ;P
hahaha if i flip the coin i can know what it is without looking xD
yep. I know the trick too :)
hehe
i use number theory in that trick (even odd ) case xD
you want to find probability of making profit ?
sure
this is also a binomial distribution
yeah i would like to learn it
I need to win at least 4 tosses to make profit, yes ?
yes
By winning 4 tosses, il be getting 4*200 = 800 after that even if loose all remaining tosses, il be only giving you 6*100 = 600 il be making 200 profit
so simply find the probability of P(X >= 4)
there is one thing good about tossing coin its black and white property lol like p(win)=p(lose) (for first time ) so its always easy to calculate
the probability of making profit for me is 53/64 which is pretty huge !
yes of losing it was 11/64
dou know that binomial distribution is derived from beta function ?
never took statistics seriously im familiar wid beta function, so it does look interesting... teach me how to derive it
\[B(m,n) = \int\limits_0^1 x^{m-1}(1-x)^{n-1}~dx\]
Ahh i see.. this gives the area under binomial distribution curve ?
yes now chance limits of integral to 0-(1-p) and see what u would got
almost yes
it gives the whole area
step by step please
do we need to treat "x" as probability of success and "1-x" as probability of failure ?
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