Calculus & Its Applications
12th Edition
ISBN: 9780137590810
Author: Larry J. Goldstein, David C. Lay, David I. Schneider, Nakhle H. Asmar, William Edward Tavernetti
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 12.4, Problem 6E
In a large factory there is an average of two accidents per day, and the time between accidents has an exponential density function with an expected value of
Find the probability that the time between accidents will be less than
Expert Solution & Answer
Trending nowThis is a popular solution!
Students have asked these similar questions
The life X (in hours) of a battery in constant use is a random variable with exponential density. What is the probability that the battery will last more than 12 hours (h) if the average life is 8 h?
A lamp has two light bulbs with an average lifespan of 1400 hours. Assuming we can model the probability
of failure of these bulbs by an exponential density function with mean = 1400, find the probability that
both of the lamp's bulbs fail within 800 hours.
The time (in hours) required to repair a machine is exponentially distributed
1
with parameter 2 = = what is the probability that the repair time exceeds 3
3
Chapter 12 Solutions
Calculus & Its Applications
Ch. 12.1 - Compute the expected value and the variance of the...Ch. 12.1 - Prob. 2CYUCh. 12.1 - Prob. 1ECh. 12.1 - Prob. 2ECh. 12.1 - Prob. 3ECh. 12.1 - Prob. 4ECh. 12.1 - Prob. 5ECh. 12.1 - Probability Table, Expected Value The number of...Ch. 12.1 - Prob. 7ECh. 12.1 - Prob. 8E
Ch. 12.1 - Decision Making Based on Expected Value A citrus...Ch. 12.1 - Prob. 10ECh. 12.2 - Prob. 1CYUCh. 12.2 - Prob. 2CYUCh. 12.2 - Prob. 1ECh. 12.2 - Prob. 2ECh. 12.2 - Prob. 3ECh. 12.2 - Prob. 4ECh. 12.2 - Prob. 5ECh. 12.2 - Prob. 6ECh. 12.2 - Prob. 7ECh. 12.2 - Prob. 8ECh. 12.2 - Prob. 9ECh. 12.2 - Prob. 10ECh. 12.2 - Prob. 11ECh. 12.2 - Prob. 12ECh. 12.2 - Prob. 13ECh. 12.2 - Prob. 14ECh. 12.2 - Prob. 15ECh. 12.2 - Prob. 16ECh. 12.2 - Prob. 17ECh. 12.2 - Prob. 18ECh. 12.2 - Prob. 19ECh. 12.2 - Prob. 20ECh. 12.2 - Prob. 21ECh. 12.2 - Prob. 22ECh. 12.2 - Prob. 23ECh. 12.2 - Prob. 24ECh. 12.2 - Prob. 25ECh. 12.2 - Prob. 26ECh. 12.2 - An experiment consists of selecting a point at...Ch. 12.2 - Prob. 28ECh. 12.2 - Prob. 29ECh. 12.2 - Prob. 30ECh. 12.2 - Prob. 31ECh. 12.2 - Prob. 32ECh. 12.2 - Prob. 33ECh. 12.2 - Prob. 34ECh. 12.2 - Prob. 35ECh. 12.2 - A random variable X has a cumulative distribution...Ch. 12.2 - Prob. 37ECh. 12.2 - Prob. 38ECh. 12.3 - Prob. 1CYUCh. 12.3 - Prob. 2CYUCh. 12.3 - Prob. 1ECh. 12.3 - Prob. 2ECh. 12.3 - Prob. 3ECh. 12.3 - Prob. 4ECh. 12.3 - Prob. 5ECh. 12.3 - Prob. 6ECh. 12.3 - Prob. 7ECh. 12.3 - Prob. 8ECh. 12.3 - Prob. 9ECh. 12.3 - Prob. 10ECh. 12.3 - Prob. 11ECh. 12.3 - Prob. 12ECh. 12.3 - Expected Reading Time The amount oftime (in...Ch. 12.3 - Prob. 14ECh. 12.3 - Prob. 15ECh. 12.3 - Prob. 16ECh. 12.3 - Prob. 17ECh. 12.3 - Prob. 18ECh. 12.3 - If X is a random variable with density function...Ch. 12.3 - Prob. 20ECh. 12.3 - Prob. 21ECh. 12.3 - Prob. 22ECh. 12.3 - Prob. 23ECh. 12.3 - Prob. 24ECh. 12.3 - Prob. 25ECh. 12.3 - Prob. 26ECh. 12.4 - The emergency flasher on an automobile is...Ch. 12.4 - Prob. 2CYUCh. 12.4 - Prob. 1ECh. 12.4 - Prob. 2ECh. 12.4 - Prob. 3ECh. 12.4 - Prob. 4ECh. 12.4 - Prob. 5ECh. 12.4 - In a large factory there is an average of two...Ch. 12.4 - Prob. 7ECh. 12.4 - Prob. 8ECh. 12.4 - During a certain part of the day, the time between...Ch. 12.4 - During a certain part of the day, the time between...Ch. 12.4 - Prob. 11ECh. 12.4 - Prob. 12ECh. 12.4 - Reliability of Electronic Components Suppose that...Ch. 12.4 - Prob. 14ECh. 12.4 - Prob. 15ECh. 12.4 - Find the expected values and the standard...Ch. 12.4 - Prob. 17ECh. 12.4 - Find the expected values and the standard...Ch. 12.4 - Prob. 19ECh. 12.4 - Prob. 20ECh. 12.4 - Prob. 21ECh. 12.4 - Prob. 22ECh. 12.4 - Prob. 23ECh. 12.4 - Prob. 24ECh. 12.4 - Prob. 25ECh. 12.4 - Normal Distribution and Life of a Tire Suppose...Ch. 12.4 - Amount of Milk in a Container If the amount of...Ch. 12.4 - Breaking weight Theamount of weight required to...Ch. 12.4 - Time of a commute A student with an eight oclock...Ch. 12.4 - Prob. 30ECh. 12.4 - Diameter of a Bolt A certain type of bolt must fit...Ch. 12.4 - Prob. 32ECh. 12.4 - Prob. 33ECh. 12.4 - Prob. 34ECh. 12.4 - Prob. 35ECh. 12.4 - Prob. 36ECh. 12.4 - Prob. 37ECh. 12.5 - A public health officer is tracking down the...Ch. 12.5 - Suppose that a random variable X has a Poisson...Ch. 12.5 - Prob. 2ECh. 12.5 - Prob. 3ECh. 12.5 - Prob. 4ECh. 12.5 - Number of Insurance Claims The monthly number of...Ch. 12.5 - Waiting Time in an Emergency Room On a typical...Ch. 12.5 - Prob. 7ECh. 12.5 - Number of Cars at a Tollgate During a certain part...Ch. 12.5 - Poisson Distribution in a Mixing Problem A bakery...Ch. 12.5 - Prob. 10ECh. 12.5 - Prob. 11ECh. 12.5 - Quality Control The quality-control department at...Ch. 12.5 - Two Competing Companies In a certain town, there...Ch. 12.5 - Prob. 14ECh. 12.5 - Prob. 15ECh. 12.5 - Prob. 16ECh. 12.5 - Prob. 17ECh. 12.5 - Prob. 18ECh. 12.5 - Prob. 19ECh. 12.5 - Prob. 20ECh. 12.5 - Prob. 21ECh. 12.5 - Prob. 22ECh. 12.5 - Prob. 23ECh. 12.5 - Prob. 24ECh. 12.5 - Prob. 25ECh. 12.5 - The number of accidents occurring each month at a...Ch. 12 - What is probability table?Ch. 12 - Prob. 2FCCECh. 12 - Prob. 3FCCECh. 12 - Prob. 4FCCECh. 12 - Prob. 5FCCECh. 12 - Prob. 6FCCECh. 12 - Prob. 7FCCECh. 12 - Prob. 8FCCECh. 12 - Prob. 9FCCECh. 12 - Give two ways to compute the variance of a...Ch. 12 - Prob. 11FCCECh. 12 - Prob. 12FCCECh. 12 - Prob. 13FCCECh. 12 - Prob. 14FCCECh. 12 - How is an integral involving a normal density...Ch. 12 - Prob. 16FCCECh. 12 - Prob. 17FCCECh. 12 - Let X be a continuous random variable on 0x2, with...Ch. 12 - Prob. 2RECh. 12 - Prob. 3RECh. 12 - Prob. 4RECh. 12 - Prob. 5RECh. 12 - Prob. 6RECh. 12 - Prob. 7RECh. 12 - Prob. 8RECh. 12 - Probability of Gasoline Sales A certain gas...Ch. 12 - Prob. 10RECh. 12 - Prob. 11RECh. 12 - Prob. 12RECh. 12 - Prob. 13RECh. 12 - Prob. 14RECh. 12 - Prob. 15RECh. 12 - Prob. 16RECh. 12 - Prob. 17RECh. 12 - Deciding on a Service Contract The condenser motor...Ch. 12 - Prob. 19RECh. 12 - Prob. 20RECh. 12 - Prob. 21RECh. 12 - Prob. 22RECh. 12 - Prob. 23RECh. 12 - Prob. 24RECh. 12 - Prob. 25RECh. 12 - Prob. 26RECh. 12 - Area under the Normal Curve It is useful in some...Ch. 12 - Prob. 28RECh. 12 - Prob. 29RECh. 12 - Prob. 30RECh. 12 - Prob. 31RECh. 12 - Prob. 32RECh. 12 - Prob. 33RECh. 12 - Rolling Dice A pair of dice is rolled until a 7 or...Ch. 12 - Rolling Dice A pair of dice is rolled until a 7 or...Ch. 12 - Rolling Dice A pair of dice is rolled until a 7 or...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, calculus and related others by exploring similar questions and additional content below.Similar questions
- Suppose that a three-point specialist makes a 3-point basket 37% of the time. IfXis the number of pointsscored, find the probability density function of the next four shots attempted. (Do not simplify youranswer!)arrow_forwardBattery life between charges for the Motorolla Droid Razr Maxx is 20 hours when the primary use is talk time. The battery life drops to 7 hours when the phone is primarily used for Internel applications over cellular. Assume that the battery life in both cases follows an exponential distribution. a. Show the probability density function for battery life for the Droid Razr Maxx phone when its primary use is talk time. b. What is the probability that the battery charge for a randomly selected Droid Razr maxx phone will last no more than 15 hours when its primary use is talk time? c. What is the probability that the battery charge for a randomly selected Droid Razr Maxx phone will last more than 20 hours when its primary use is talk time? d. What is the probability that the battery charge for a randomly selected Droid Razr Maxx phone will last no more than 5 hours when its primary use is Internet Applications?arrow_forwardThe amount of time required to serve a customer at a bank has an exponential density function with a mean of 3 minutes. Find the probability that a customer is served in less than 2 minutes and also find the probability that serving a customer will require more than 5 minutes.arrow_forward
- Many electronics follow a failure rate described by an exponential probability density function (PDF). Solar panels are advertised to last 20 years or longer, but panels made in China are failing at a higher rate. The time-to-failure of this device is usually exponentially distributed with mean 11 years. What is the probability of failure in the first 5 years?arrow_forwardJohn bought a second-hand car that was driven 16 kilometers (km) from sahibindenmiacaba.com. What is the probability that he will be able to drive this car at least for another 20 km before it has to be salvaged if life of a car (in km) is exponentially distributed with a rate parameter of 1/30? Answer uniformly distributed over (0, 140)? Answerarrow_forwardA lamp has two light bulbs with an average lifespan of 1000 hours. Assuming we can model the probability of failure of these bulbs by an exponential density function with mean mu=1000, find the probability that both of the lamp's bulbs fail within 800 hours.arrow_forward
- Personnel at an Engineering company use an online terminal to make routine engineering calculations. If the time each engineer spends in a session at a terminal has an exponential density function with expected value of 36 minutes, calculate the following. 1. What is the probability that each and everyone of five engineers spend less than 25 minutes at a terminal making routine calculations?2. Why would we use the same model we used? Does it make sense? Explain.arrow_forwardIf the lifespan (in years) of a cellphone battery is a random variable whose probability density function is given by the figure below. Determine the probability that the cellphone battery lasts less than 1 year, the probability the cellphone battery lasts more than 5 years, and the the cumulative density function.arrow_forwardA main-frame computer, that serves a network of terminals, is known to crash after an average of 44 hours. Suppose that you model the probability of failure of the main-frame by an exponential density function with a mean of 44 hours. (a) Using the exponential density function model, calculate the probability the mainframe will crash within the first 22 hours. Give your answer in exact (not decimal) form. (b) Calculate the median of the lifetime of the main-frame computer. Give your answer in exact (not decimal) form.arrow_forward
- Personnel at an Engineering company use an online terminal to make routine engineering calculations. If the time each engineer spends in a session at a terminal has an exponential density function with expected value of 36 minutes, calculate the following. 1. If an engineer has already been at the terminal for 30 minutes, what is the probability that he or she will spendmore than another hour at the terminal?2. Ninety percent of the sessions end in less than R minutes. What is R?arrow_forwardWhat must be the value of A in order for this to be a probability density function? Find the probability that waiting your true love is no longer than 6 months. Find the probability that waiting your true love is between 1 and 2 years.arrow_forwardSuppose that a study of a certain computer system reveals that the response time, in seconds, has an exponential distribution with density curve f(x) = (1/3)e(-x/3) for x > 0 and f(x) = 0 otherwise. What is the probability that response time exceeds 5 seconds? What is the probability that response time exceeds 10 seconds?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage
Continuous Probability Distributions - Basic Introduction; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=QxqxdQ_g2uw;License: Standard YouTube License, CC-BY
Probability Density Function (p.d.f.) Finding k (Part 1) | ExamSolutions; Author: ExamSolutions;https://www.youtube.com/watch?v=RsuS2ehsTDM;License: Standard YouTube License, CC-BY
Find the value of k so that the Function is a Probability Density Function; Author: The Math Sorcerer;https://www.youtube.com/watch?v=QqoCZWrVnbA;License: Standard Youtube License