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(A generalization of Problem 26) $A$ and $B$ are playing a sequence of games. For each play, each have an equal change of winning. The first person who wins $n$ plays will be the winner of the game. Assume that $A$ has already won $i$ plays and $B$ has already won $j$ plays. Let $E$ denote the probability that $A$ will win the game. (a) Express $P(E)$ in terms of $n, i$, and $j$. (b) Verify the results obtained in Problem 26 using the expression for $P(E)$.

   (A generalization of Problem 26) $A$ and $B$ are playing a sequence of games. For each play, each have an equal change of winning. The first person who wins $n$ plays will be the winner of the game. Assume that $A$ has already won $i$ plays and $B$ has already won $j$ plays. Let $E$ denote the probability that $A$ will win the game. (a) Express $P(E)$ in terms of $n, i$, and $j$. (b) Verify the results obtained in Problem 26 using the expression for $P(E)$.
 
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An Introduction to Probability: With MATHEMATICA
An Introduction to Probability: With MATHEMATICA
Edward P C Kao 1st Edition
Chapter 2, Problem 37 ↓

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We have two players A and B playing a sequence of games. Each player has a 50% chance of winning each play. The first player to win n plays is the overall winner. Currently, A has won i plays and B has won j plays. We need to find P(E), the probability that A will  Show more…

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(A generalization of Problem 26) $A$ and $B$ are playing a sequence of games. For each play, each have an equal change of winning. The first person who wins $n$ plays will be the winner of the game. Assume that $A$ has already won $i$ plays and $B$ has already won $j$ plays. Let $E$ denote the probability that $A$ will win the game. (a) Express $P(E)$ in terms of $n, i$, and $j$. (b) Verify the results obtained in Problem 26 using the expression for $P(E)$.
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