Statistics-Probability Distribution of Discrete Random Variable

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Homework Help Overview

The discussion revolves around a probability problem involving a player in a video game who has an 80% chance of defeating each opponent. The player continues to face opponents until defeated, leading to questions about the probability of defeating at least two opponents, contesting four or more opponents, and the expected number of game plays until reaching that point.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the use of the geometric distribution to model the situation, with some questioning the setup of the random variable and the formulas applied. There are attempts to calculate probabilities and expected values, with varying interpretations of the formulas involved.

Discussion Status

The discussion is ongoing, with participants providing feedback on each other's calculations and interpretations. Some guidance has been offered regarding the definition of the random variable and the formulas used, but no consensus has been reached on the correct approach or calculations.

Contextual Notes

There are indications of confusion regarding the application of the geometric distribution and the specific formulas for probability mass functions (pmf) and cumulative mass functions (cmf). Participants are encouraged to clarify definitions and calculations.

swmmr1928
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Homework Statement



A player of a video game is confronted with a series of opponents and has an 80% probability of defeating each one. Success with any opponent is independent of previous encounters. The player continues to contest opponents until defeated.

What is the probability that a player defeats at least two opponents in a game?
What is the probability that a player contests four or more opponents in a game?
What is the expected number of game plays until a player contests four or more opponents?

Homework Equations



f(x)=(1-p)^(x-1)*p
E=1/p

The Attempt at a Solution



I know that these are Bernoulli trials.
I chose Geometric distribution because the number of 'trials' is not fixed.

Defeat at least two opponents:
pmf(1)+pmf(2)=cmf(2)=0.2+0.13=0.36

Contest four or more:
1-cmf(3)=1-[pmf(3)+pmf(2)+pmf(1)]=1-0.488=0.512

Expected games to contest four or more:

1/0.512=1.9?This is an illogical answer.
 
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swmmr1928 said:

Homework Statement



A player of a video game is confronted with a series of opponents and has an 80% probability of defeating each one. Success with any opponent is independent of previous encounters. The player continues to contest opponents until defeated.

What is the probability that a player defeats at least two opponents in a game?
What is the probability that a player contests four or more opponents in a game?
What is the expected number of game plays until a player contests four or more opponents?

Homework Equations



f(x)=(1-p)^(x-1)*p
E=1/p

You might start by stating what your random variable ##X## represents. Although I can guess, you should tell us because there are a couple of ways the geometric distribution is set up and it needs to be clear to both of us.
 
LCKurtz said:
You might start by stating what your random variable ##X## represents. Although I can guess, you should tell us because there are a couple of ways the geometric distribution is set up and it needs to be clear to both of us.

X represents the number of opponents faced per set of trials.
 
You haven't shown enough calculation to follow what you did. I suspect you may be using the wrong formula for ##f(x)##. Are you using ##f(x) = .8^{x-1}\cdot 2##? So to defeat at least 2 opponents you want ## P(X \ge 3) = 1 - P(X=1)-P(x=2)##. I get ##.64## for that one.
 

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