Solving Two Distributions Probability Question

In summary, Pat has a high chance of catching the first bus if the mean arrival time of the bus is small.
  • #1
Travis Cooper
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Homework Statement


"Pat arrives at the bus stop at some time U, which is uniformly distributed between time 0 and time 1, and waits for a bus. The first bus arrives at time T which is exponentially distributed with mean 1/μ. Assume that U and T are independent. What is the probability that Pat catches the first bus?"

Homework Equations

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The Attempt at a Solution



"Pr {U < T} = [tex]\int[/tex](from 0 to infinity) Pr {U < T | U = s}fU(s) ds"
 
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  • #2
"Pr {U < T | U = s} = Pr {T > s} = 1 - Pr {T \leq s} = 1 - F_T(s) = 1 - (1 - e^{-\mu s})""= e^{-\mu s}""fU(s) = 1 from 0 to 1""Pr {U < T} = \int_0^1 e^{-\mu s} ds = 1 - e^{-\mu} "Therefore, the probability that Pat catches the first bus is 1 - e^{-\mu}.
 

FAQ: Solving Two Distributions Probability Question

What is the difference between a discrete and continuous probability distribution?

A discrete probability distribution assigns probabilities to discrete events or outcomes, such as rolling a specific number on a die. A continuous probability distribution assigns probabilities to continuous variables, such as the height of a person.

How do I calculate the probability of a specific event occurring in a distribution?

To calculate the probability of a specific event, you can divide the number of outcomes that meet the criteria by the total number of possible outcomes in the distribution.

What is the difference between a binomial and normal distribution?

A binomial distribution is used to model the probability of a certain number of successes in a fixed number of trials with two possible outcomes, such as flipping a coin. A normal distribution is a continuous distribution that is often used to model real-world data, such as heights or weights.

Can I use a calculator to solve probability questions involving two distributions?

Yes, many scientific calculators have functions that can calculate probabilities for both discrete and continuous distributions. However, it is important to understand the concepts behind the calculations in order to use the calculator effectively.

How can I use probability distributions to make predictions?

Probability distributions can be used to make predictions by calculating the likelihood of a specific event occurring in a certain situation. For example, by using a normal distribution, we can predict the likelihood of finding a person of a certain height in a population.

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