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A California water company has determined that the average customer billing is $1,250 per year and the amounts billed have an exponential distribution. a. What is the mean and lamda? b. Calculate the probability that a random chosen customer would spend more than $5,000 c. Compute the probability that a random chosen customer would spend more than the average amount spent by all customers of this company.

User Lusketeer
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Answer:

a)

Mean
\mu = (1)/(\lambda )= 1250


\lambda = (1)/(1250)

b)


P(X > 5000) = 0.0183

c)


P(X > 1250) =0.3679

Explanation:

From the given information:

a.)

Mean
\mu = (1)/(\lambda )= 1250


\lambda = (1)/(1250)

Let consider X to be a random variable that follows an exponential distribution; then:

P(X) = 1 -
e^(- \lambda x) since
\lambda > 0

b.)

The required probability that a random chosen customer would spend more than $5,000 can be computed as:


P(X > 5000) = 1 - \bigg [ 1 - e ^{- (5000)/(1250)} \bigg]


P(X > 5000) =e^ {-4


P(X > 5000) = 0.0183

c.)


P(X > 1250) = 1 - \bigg [ 1 - e ^{- (1250)/(1250)} \bigg]


P(X > 1250) =e ^{- 1


P(X > 1250) =0.3679

User Justkris
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