2.1. Simulate a random number from a discrete distribution X 1 3 5 6. p(X= x) 0.1 0.5 0.2 0.2 Search google .. 2. 2. (Gambler problem) Consider a fair game between A and B. At the beginning, A has $5 and B has $7. At each round, a fair coin is tossed. If the coin turns on Head then A gains $1 and B loses $1. Inversely A loses $1 and B gains $1 if the coin turns on Tail. The game is over if one of the two player is out of money. Let S_n denote the amount of A after nth round. Simulate a possible path of Sn from the beginning up to game over,

2.1. Simulate a random number from a discrete distribution X 1 3 5 6. p(X= x) 0.1 0.5 0.2 0.2 Search google .. 2. 2. (Gambler problem) Consider a fair game between A and B. At the beginning, A has $5 and B has $7. At each round, a fair coin is tossed. If the coin turns on Head then A gains $1 and B loses $1. Inversely A loses $1 and B gains $1 if the coin turns on Tail. The game is over if one of the two player is out of money. Let S_n denote the amount of A after nth round. Simulate a possible path of Sn from the beginning up to game over,

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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