Calculating Probability of Winning with Gambling Game

Click For Summary

Homework Help Overview

The discussion revolves around calculating the probability of ending up with a certain amount of money after a series of rounds in a gambling game. The game involves winning $1 with a probability of 0.6 or losing $2 with a probability of 0.4, starting with $100, and the goal is to find the probability of having between $93 and $107 after 10 rounds.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss various methods to approach the problem, including determining all possible outcomes or "walks" that result in the desired range of money. Some suggest focusing on the complementary set of outcomes that fall outside the interval. Others propose simplifying the randomness of the game to facilitate calculations.

Discussion Status

Participants are exploring different strategies to calculate the probability, with some providing insights into the nature of the problem and others questioning the assumptions made. There is no explicit consensus on a single method, but several productive lines of reasoning are being discussed.

Contextual Notes

There are indications that participants are considering the implications of the game's structure, such as the impact of the order of wins and losses, and the distribution of outcomes based on the probabilities given. Some participants express uncertainty about how to begin the calculations.

wuid
Messages
38
Reaction score
0
In a gambling game , you can win 1$ in each round with probability 0.6 or lose 2$ in probability 0.4. suppose you start with 100$.
find the probability that after 10 rounds you have between 93 to 107 dollars.

i am not sure how to start the solution,

thanks,
 
Physics news on Phys.org
Well, one obvious, though not necessarily efficient, method is to determine all possible "walks" that end up between 93 and 107. A bit more efficient method might be to enumerate walks that put you outside that interval since there appear to be fewer of those. The probability you are inside the interval is, of course, 1 minus the probability you are outside.

Note that the order in which you win or lose is irrelevant.
 
wuid said:
In a gambling game , you can win 1$ in each round with probability 0.6 or lose 2$ in probability 0.4. suppose you start with 100$.
find the probability that after 10 rounds you have between 93 to 107 dollars.

i am not sure how to start the solution,

thanks,

It might be a bit easier to simplify the "randomness" as follows: assume that in each play you always start by losing $2; then you gain an additional $0 with probability 0.4 or an additional $3 with probability 0.6. In 10 rounds you will have D = 100 - 20 + 3S dollars, where S = \sum_{i=1}^{10} X_i, and the X_i are iid random variables with distribution P{X=0} = 4/10, P{X=1} = 6/10. What limits on S give D between 93 and 107?

RGV
 
Last edited:
HallsofIvy said:
Well, one obvious, though not necessarily efficient, method is to determine all possible "walks" that end up between 93 and 107. A bit more efficient method might be to enumerate walks that put you outside that interval since there appear to be fewer of those. The probability you are inside the interval is, of course, 1 minus the probability you are outside.

Note that the order in which you win or lose is irrelevant.

No, I count fewer possibilities that put the expected gain between -7 and +7 inclusive. That's between 1 and 5 losses inclusive, which is 5 possibilities.

The complementary set would have 6 possibilities (0 losses and 6 to 10 inclusive). That's more work.
 
wuid said:
In a gambling game , you can win 1$ in each round with probability 0.6 or lose 2$ in probability 0.4. suppose you start with 100$.
find the probability that after 10 rounds you have between 93 to 107 dollars.

i am not sure how to start the solution,

thanks,

First work out how many losses will yield an expected gain between -7 and +7 inclusive. This can be done by solving a simple pair of simultaneous equations (or one equation and one inequality).

Then treat it as a Binomial probability problem and just sum the relevant probabilities.
 
Ray Vickson said:
It might be a bit easier to simplify the "randomness" as follows: assume that in each play you always start by losing $2; then you gain an additional $0 with probability 0.4 or an additional $3 with probability 0.6. In 10 rounds you will have D = 100 - 20 + 3S dollars, where S = \sum_{i=1}^{10} X_i, and the X_i are iid random variables with distribution P{X=0} = 4/10, P{X=1} = 6/10. What limits on S give D between 93 and 107?

RGV

so S is a binomal variable with n=10 , p=0.6 and i left to find P(5\leq S \leq 9) ?
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 14 ·
Replies
14
Views
3K
Replies
12
Views
3K
  • · Replies 9 ·
Replies
9
Views
16K
Replies
3
Views
2K
Replies
1
Views
1K
Replies
2
Views
2K
  • · Replies 9 ·
Replies
9
Views
5K
  • · Replies 4 ·
Replies
4
Views
19K