Ladder game based on coin flips

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SUMMARY

The probability of winning a ladder game based on coin flips with 10 steps is calculated using the probabilities of three events: Event A (50% chance to win), Event B (25% chance to lose but not bust), and Event C (25% chance to lose and bust). The winning condition requires achieving 10 more heads than tails without having two tails in a row. The derived probability of winning on a given run is (2/3)^{10}, where the probability of winning a single step is established as 2/3. This analysis simplifies the game mechanics into a mathematical framework suitable for probability calculations.

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Keiser
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Hi there, found a situation where I'm trying to find the probability of winning a ladder type game.

There are 10 steps and the goal is to win all 10 steps without busting (i.e. a streak, given one exception below in event B). On any given step three different events can occur:
Event A: 50% chance to win, move up to next step.
Event B: 25% chance to lose but not bust, stay at same step. A "life saver" if you will.
Event C: 25% chance to lose and bust. Start over.

Think of it like flipping a coin, but with a double elimination. So on a heads you move up a step. On a tails you flip again, a heads after the tails and you reset to this level, but if you get tails again, you lose. The best way I could think of it mathematically is what is the probability that you will have 10 more heads than tails and never have two tails in a row.

For instance
HHHHHHHHHH
HHHthHHthHHHthHthH
both produce a win. But
HHHthHHtt
loses after winning 5 steps.

Any ideas? Been a few years since I've done any higher math. The 10 more heads than tails portion sounds like standard deviation, but I never used that in any class I took.
 
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Well, you can ignore the B's, and suppose it is A with 2/3 chance and C with 1/3 chance. On any given "run" (that is, starting from 0) the probability that you get n A's followed by a C is (1/3) * (2/3)^n. The probability that you win on a given run is therefore
\sum_{i=10}^\infty \frac{(2/3)^i}{3} \\<br /> = \frac{(2/3)^{10}}{3}\sum_{i=0}^\infty (2/3)^i \\<br /> = (2/3)^{10}.
 
mXSCNT said:
Well, you can ignore the B's, and suppose it is A with 2/3 chance and C with 1/3 chance. On any given "run" (that is, starting from 0) the probability that you get n A's followed by a C is (1/3) * (2/3)^n. The probability that you win on a given run is therefore
\sum_{i=10}^\infty \frac{(2/3)^i}{3} \\<br /> = \frac{(2/3)^{10}}{3}\sum_{i=0}^\infty (2/3)^i \\<br /> = (2/3)^{10}.

It wasn't obvious to me that A has 2/3 chance, but I'm guessing you worked it out this way: To win a single step needs one of H, thH, ththH,... which has total probability
\sum_{k=0}^\infty (1/4)^k*(1/2)=(1/2)/(1-1/4)=2/3
and thus to win 10 steps the probability is (2/3)^{10}.
 

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