The caller times at a customer service center has an exponential distribution with an average of 10 seconds. Find the probability that a randomly selected call time will be less than 25 seconds? (Round to 4 decimal places.) Answer:

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Answer:

0.9179 = 91.79% probability that a randomly selected call time will be less than 25 seconds

Step-by-step explanation:

Exponential distribution:

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

[tex]f(x) = \mu e^{-\mu x}[/tex]

In which [tex]\mu = \frac{1}{m}[/tex] is the decay parameter.

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

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

Which has the following solution:

[tex]P(X \leq x) = 1 - e^{-\mu x}[/tex]

The probability of finding a value higher than x is:

[tex]P(X > x) = 1 - P(X \leq x) = 1 - (1 - e^{-\mu x}) = e^{-\mu x}[/tex]

In this question:

[tex]m = 10, \mu = \frac{1}{10} = 0.1[/tex]

Find the probability that a randomly selected call time will be less than 25 seconds?

[tex]P(X \leq x) = 1 - e^{-\mu x}[/tex]

[tex]P(X \leq 25) = 1 - e^{-0.1*25} = 0.9179[/tex]

0.9179 = 91.79% probability that a randomly selected call time will be less than 25 seconds