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5.3 The Exponential Distribution

Waiting time until the next event, a decay parameter tied to an arrival rate, and the memoryless property behind lifetime and service-time models.

Introductory Business Statistics 2e, 5.3 The Exponential Distribution

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22 exercises

5.3 Exercise 3

The number of days ahead travelers purchase their airline tickets can be modeled by an exponential distribution with the average amount of time equal to 15 days. Find the probability that a traveler will purchase a ticket fewer than ten days in advance. How many days do half of all travelers wait?

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5.3 Exercise 4

On the average, a certain computer part lasts ten years. The length of time the computer part lasts is exponentially distributed.

a. What is the probability that a computer part lasts more than 7 years?

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5.3 Exercise 5

b. On the average, how long would five computer parts last if they are used one after another?

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5.3 Exercise 7

On average, a pair of running shoes can last 18 months if used every day. The length of time running shoes last is exponentially distributed. What is the probability that a pair of running shoes last more than 15 months? On average, how long would six pairs of running shoes last if they are used one after the other? Eighty percent of running shoes last at most how long if used every day?

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5.3 Exercise 8

Suppose that the length of a phone call, in minutes, is an exponential random variable with decay parameter 1 12 \frac{1}{12}. The decay p[parameter is another way to view 1/λ. If another person arrives at a public telephone just before you, find the probability that you will have to wait more than five minutes. Let X = the length of a phone call, in minutes.

What is m, μ, and σ? The probability that you must wa…

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5.3 Exercise 16

Use the following information to answer the next ten exercises. A customer service representative must spend different amounts of time with each customer to resolve various concerns. The amount of time spent with each customer can be modeled by the following distribution: X ~ Exp(0.2)

Are outcomes equally likely in this distribution? Why or why not?

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5.3 Exercise 18

Use the following information to answer the next ten exercises. A customer service representative must spend different amounts of time with each customer to resolve various concerns. The amount of time spent with each customer can be modeled by the following distribution: X ~ Exp(0.2)

What is the mean?

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5.3 Exercise 20

Use the following information to answer the next ten exercises. A customer service representative must spend different amounts of time with each customer to resolve various concerns. The amount of time spent with each customer can be modeled by the following distribution: X ~ Exp(0.2)

State the probability density function.

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5.3 Exercise 22

Use the following information to answer the next ten exercises. A customer service representative must spend different amounts of time with each customer to resolve various concerns. The amount of time spent with each customer can be modeled by the following distribution: X ~ Exp(0.2)

Find P(2 < x < 10).

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5.3 Exercise 24

Use the following information to answer the next ten exercises. A customer service representative must spend different amounts of time with each customer to resolve various concerns. The amount of time spent with each customer can be modeled by the following distribution: X ~ Exp(0.2)

Find the 70th percentile.

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5.3 Exercise 26


Use the following information to answer the next seven exercises. A distribution is given as X ~ Exp(0.75).

What is the probability density function?

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5.3 Exercise 30


Use the following information to answer the next seven exercises. A distribution is given as X ~ Exp(0.75).

Find the 30th percentile.

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5.3 Exercise 32


Use the following information to answer the next seven exercises. A distribution is given as X ~ Exp(0.75).

Which is larger, the mean or the median?

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5.3 Exercise 34

Use the following information to answer the next 16 exercises. Carbon-14 is a radioactive element with a half-life of about 5,730 years. Carbon-14 is said to decay exponentially. The decay rate is 0.000121. We start with one gram of carbon-14. We are interested in the time (years) it takes to decay carbon-14.

Are the data discrete or continuous?

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5.3 Exercise 36

Use the following information to answer the next 16 exercises. Carbon-14 is a radioactive element with a half-life of about 5,730 years. Carbon-14 is said to decay exponentially. The decay rate is 0.000121. We start with one gram of carbon-14. We are interested in the time (years) it takes to decay carbon-14.

What is the decay rate (m)?

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5.3 Exercise 42

Suppose that the useful life of a particular car battery, measured in months, decays with parameter 0.025. We are interested in the life of the battery.

  1. Define the random variable. X = _________________________________.
  2. Is X continuous or discrete?
  3. On average, how long would you expect one car battery to last?
  4. On average, how long would you expect nine car batteries to last, if they are used one a…
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5.3 Exercise 44

The time (in years) after reaching age 60 that it takes an individual to retire is approximately exponentially distributed with a mean of about five years. Suppose we randomly pick one retired individual. We are interested in the time after age 60 to retirement.

  1. Define the random variable. X = _________________________________.
  2. Is X continuous or discrete?
  3. μ = ________
  4. σ = ________
  5. Draw a graph of…
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5.3 Exercise 46


Use the following information to answer the next three exercises. The average lifetime of a certain new smartphone is three years. The manufacturer will replace any smartphone failing within two years of the date of purchase. The lifetime of these smartphone is known to follow an exponential distribution.

The decay rate is:

  1. 0.3333
  2. 0.5000
  3. 2
  4. 3
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5.3 Exercise 48


Use the following information to answer the next three exercises. The average lifetime of a certain new smartphone is three years. The manufacturer will replace any smartphone failing within two years of the date of purchase. The lifetime of these smartphone is known to follow an exponential distribution.

What is the median lifetime of these smartphones (in years)?

  1. 0.1941
  2. 1.3863
  3. 2.0794
  4. 5.5452
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5.3 Exercise 50


Use the following information to answer the next three exercises. The average lifetime of a certain new smartphone is three years. The manufacturer will replace any smartphone failing within two years of the date of purchase. The lifetime of these smartphone is known to follow an exponential distribution.

In major league baseball, a no-hitter is a game in which a pitcher, or pitchers, doesn't give…

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5.3 Exercise 52


Use the following information to answer the next three exercises. The average lifetime of a certain new smartphone is three years. The manufacturer will replace any smartphone failing within two years of the date of purchase. The lifetime of these smartphone is known to follow an exponential distribution.

According to the American Red Cross, about one out of nine people in the U.S. have Type B pos…

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5.3 Exercise 54


Use the following information to answer the next three exercises. The average lifetime of a certain new smartphone is three years. The manufacturer will replace any smartphone failing within two years of the date of purchase. The lifetime of these smartphone is known to follow an exponential distribution.

At an urgent care facility, patients arrive at an average rate of one patient every seven min…

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Adapted from Introductory Business Statistics 2e © 2023 Rice University. Licensed under CC BY 4.0. Source: Introductory Business Statistics 2e. Imported at revision 50ec917.