Statistics-Probability Distribution of Discrete Random Variable

In summary, the conversation is about a player of a video game facing a series of opponents with an 80% probability of defeating each one. The success with any opponent is independent of previous encounters. The player continues to contest opponents until defeated. The probability of defeating at least two opponents in a game is 0.64, the probability of contesting four or more opponents is 0.512, and the expected number of game plays until a player contests four or more opponents is approximately 1.9. The random variable X represents the number of opponents faced per set of trials.
  • #1
swmmr1928
55
0

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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  • #2
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.
 
  • #3
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.
 
  • #4
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.
 

1. What is a discrete random variable?

A discrete random variable is a type of random variable that has a countable number of possible values. This means that the variable can only take on specific, separate values, rather than a continuous range of values. Examples of discrete random variables include the number of heads obtained when flipping a coin, or the number of children in a family.

2. What is the difference between a discrete and a continuous random variable?

A discrete random variable can only take on specific, separate values, while a continuous random variable can take on any value within a certain range. Discrete random variables are typically used to represent counts, while continuous random variables are used to represent measurements.

3. What is a probability distribution?

A probability distribution is a function that assigns probabilities to each possible outcome of a random variable. It shows the likelihood of each event occurring and can be represented in various forms, such as a table, graph, or equation.

4. How is a probability distribution of a discrete random variable calculated?

The probability distribution of a discrete random variable is calculated by determining the probability of each possible outcome and listing them in a table or graph. The sum of all probabilities must equal 1. For example, if rolling a six-sided die, the probability of rolling a 1 is 1/6, the probability of rolling a 2 is also 1/6, and so on.

5. What is the expected value of a discrete random variable?

The expected value of a discrete random variable is the theoretical average of all possible outcomes, weighted by their respective probabilities. It is calculated by multiplying each possible outcome by its probability and summing the products. In other words, it is the long-term average of a random variable over many trials.

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