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The commute time for people in a city has an exponential distribution with an average of 0.5 hours. What is the probability that a randomly selected person in this city will have a commute time between 0.4 and 1 hours? Answer: (round to 3 decimal places)

User Pintoch
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Answer:

0.314 = 31.4% probability that a randomly selected person in this city will have a commute time between 0.4 and 1 hours

Explanation:

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)

In this question:


m = 0.5, \mu = (1)/(0.5) = 2

What is the probability that a randomly selected person in this city will have a commute time between 0.4 and 1 hours?


P(0.4 \leq X \leq 1) = P(X \leq 1) - P(X \leq 0.4)

In which


P(X \leq 1) = 1 - e^(-2) = 0.8647


P(X \leq 0.4) = 1 - e^(-2*0.4) = 0.5507

So


P(0.4 \leq X \leq 1) = P(X \leq 1) - P(X \leq 0.4) = 0.8647 - 0.5507 = 0.314

0.314 = 31.4% probability that a randomly selected person in this city will have a commute time between 0.4 and 1 hours

User Jeta
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