Probability - Random variables

In summary, the random variable X represents the number of potholes the county will have to repair on a 30 mile stretch of the interstate during a typical Pennsylvania winter. It follows a Poisson distribution with a rate parameter of 0.16 potholes per mile. The expected value of X is 4.8 potholes and the variance is also 4.8 potholes. For the county's pothole repair expenses (Y), the expected value is $24,000 and the variance is $576,000,000.
  • #1
tjackson
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Homework Statement



During a typical Pennsylvania winter, I80 averages 1.6 potholes per 10 miles. A certain county is responsible for repairing potholes in a 30 mile stretch of the interstate. Let X denote the number of potholes the county will have to repair at the end of next winter.
1. The random variable X is

(i) binomial (ii) hypergeometric (iii) negative binomial (iv) Poisson

2. Give the expected value and variance of X.

3. The cost of repairing a pothole is $ 5000. If Y denotes the county's pothole repair expense for next winter,find the mean value and variance of Y ?

Homework Equations

and Attempt at a solution

1.) Pretty sure this is a Poisson random variable

2.) P = ([itex]\alpha[/itex]x * e-[itex]\alpha[/itex] )/ x!

In this case [itex]\alpha[/itex] = 0.16 potholes/mile

x represents 0, 1, 2, ... , 30 is this correct?

Expected value of X= [itex]\alpha[/itex] = 0.16 potholes/mile
Variance of X = expected value of X = [itex]\alpha[/itex] = 0.16 potholes/mile

Y = aX + b

X = potholes that need to be fixed
a = 5000 (cost to fix each pothole)
b = 0


Expected value of Y = a * Expected value of X

Variance of Y = a2 * Variance of X
 
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  • #2



Hello! You are correct, the random variable X is a Poisson random variable with a rate parameter of 0.16 potholes per mile. The expected value of X would be 4.8 potholes (0.16 * 30 miles) and the variance would also be 4.8 potholes.

For the second part, Y would follow a normal distribution with a mean of 5000 * 4.8 = $24,000 and a variance of (5000^2) * 4.8 = $576,000,000. This means that the county can expect to spend an average of $24,000 on pothole repairs next winter, with a variance of $576,000,000.

Hope this helps! Let me know if you have any other questions.
 

1. What is the difference between probability and random variables?

Probability refers to the likelihood or chance of an event occurring, while random variables are mathematical quantities that represent numerical outcomes of a random experiment.

2. How is probability calculated for a random variable?

The probability of a random variable is calculated by summing the probabilities of all possible outcomes for that variable. This can be done using a probability distribution or by using the formula P(X=x) = f(x), where X is the random variable and f(x) is the probability function.

3. What is the importance of understanding probability and random variables?

Understanding probability and random variables is crucial in many fields, including science, engineering, and finance. It allows us to make informed decisions and predictions based on the likelihood of certain events occurring.

4. Can you give an example of a random variable?

A common example of a random variable is the roll of a fair six-sided die. The possible outcomes are numbers 1 through 6, each with a probability of 1/6.

5. How can we use random variables to calculate expected values?

The expected value of a random variable is calculated by multiplying each possible outcome by its corresponding probability and then summing all of these values. This gives an estimate of the average value that can be expected from a random experiment.

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