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The length of time for one individual to be served at a cafeteria is an exponential random variable with mean of 5 minutes. Assume a person has waited for at least 3 minutes to be served. What is the probability that the person will need to wait at least 7 minutes total

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Answer:

44.93% probability that the person will need to wait at least 7 minutes total

Explanation:

To solve this question, we need to understand the exponential distribution and conditional probability.

Exponential distribution:

The exponential probability distribution, with mean m, is described by the following equation:


f(x) = \mu e^(-\mu x)

In which
\mu = (1)/(m) is the decay parameter.

The probability that x is lower or equal to a is given by:


P(X \leq x) = \int\limits^a_0 {f(x)} \, dx

Which has the following solution:


P(X \leq x) = 1 - e^(-\mu x)

The probability of finding a value higher than x is:


P(X > x) = 1 - P(X \leq x) = 1 - (1 - e^(-\mu x)) = e^(-\mu x)

Conditional probability:

We use the conditional probability formula to solve this question. It is


P(B|A) = (P(A \cap B))/(P(A))

In which

P(B|A) is the probability of event B happening, given that A happened.


P(A \cap B) is the probability of both A and B happening.

P(A) is the probability of A happening.

The length of time for one individual to be served at a cafeteria is an exponential random variable with mean of 5 minutes

This means that
m = 5, \mu = (1)/(5) = 0.2

Assume a person has waited for at least 3 minutes to be served. What is the probability that the person will need to wait at least 7 minutes total

Event A: Waits at least 3 minutes.

Event B: Waits at least 7 minutes.

Probability of waiting at least 3 minutes:


P(A) = P(X > 3) = e^(-0.2*3) = 0.5488

Intersection:

The intersection between waiting at least 3 minutes and at least 7 minutes is waiting at least 7 minutes. So


P(A \cap B) = P(X > 7) = e^(-0.2*7) = 0.2466

What is the probability that the person will need to wait at least 7 minutes total


P(B|A) = (0.2466)/(0.5488) = 0.4493

44.93% probability that the person will need to wait at least 7 minutes total

User Trevor Carothers
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