Calculus: An Applied Approach (MindTap Course List)
10th Edition
ISBN: 9781305860919
Author: Ron Larson
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Textbook Question
Chapter 9.2, Problem 30E
Demand The daily demand for gasoline x (in millions of gallons) in a city is described by the probability density function
Find the probability that the daily demand for gasoline will be (a) no more than 3 million gallons and (b) at least 2 million gallons.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
The random variable X models the loss in thousands of dollars due to a fire in a commercial building. Its density function is f(x) = 0.005*(20-x) for 0 being less than or equal to x and x being less than or equal to 20 and f(x)= 0 otherwise. Given that a loss due to the fire exceeds $8000, find the probability the loss exceeds $16000.
Using the uniform probability density function:U
f(x)=1-(b-a) for a<=x<=b
0 elsewhere
The label on a bottle of liquid detergent shows contents to be 12 ounces per bottle. The production operation fills the bottle uniformly according to the following probability density function:f(x) = 8 for 11.975 ≤ x ≤ 12.100andf(x) = 0 elsewhere
a. What is the probability that a bottle will be filled with 12.02 or more ounces?b. What is the probability that a bottle will be filled between 12 and 12.05 ounces?c. Quality control accepts production that is within .02 ounces of number of ounces shown on the container label. What is the probability that a bottle of this liquid detergent will fail to meet the quality control standard?
The amount of time (in minutes) that a person spends reading the editorial page of the newspaper is a random variable with the density function f(x) = 1/72x, 0 ≤ x ≤ 12. Find the average time spent reading the editorial page.
Chapter 9 Solutions
Calculus: An Applied Approach (MindTap Course List)
Ch. 9.1 - Checkpoint 1 Worked-out solution available at...Ch. 9.1 - Prob. 2CPCh. 9.1 - Prob. 3CPCh. 9.1 - Prob. 4CPCh. 9.1 - Prob. 5CPCh. 9.1 - Prob. 6CPCh. 9.1 - Prob. 1SWUCh. 9.1 - Prob. 2SWUCh. 9.1 - Prob. 3SWUCh. 9.1 - Prob. 4SWU
Ch. 9.1 - Prob. 5SWUCh. 9.1 - Prob. 6SWUCh. 9.1 - Prob. 7SWUCh. 9.1 - Prob. 8SWUCh. 9.1 - Prob. 9SWUCh. 9.1 - Prob. 10SWUCh. 9.1 - Prob. 1ECh. 9.1 - Prob. 2ECh. 9.1 - Prob. 3ECh. 9.1 - Prob. 4ECh. 9.1 - Prob. 5ECh. 9.1 - Prob. 6ECh. 9.1 - Prob. 7ECh. 9.1 - Random Selection A card is chosen at random from a...Ch. 9.1 - Prob. 9ECh. 9.1 - Prob. 10ECh. 9.1 - Identifying Probability Distributions In Exercises...Ch. 9.1 - Prob. 12ECh. 9.1 - Prob. 13ECh. 9.1 - Prob. 14ECh. 9.1 - Prob. 15ECh. 9.1 - Using Probability Distributions In Exercises 1518,...Ch. 9.1 - Prob. 17ECh. 9.1 - Prob. 18ECh. 9.1 - Prob. 19ECh. 9.1 - Children The table shows the probability...Ch. 9.1 - Prob. 21ECh. 9.1 - Die Roll Consider the experiment of rolling a...Ch. 9.1 - Prob. 23ECh. 9.1 - Prob. 24ECh. 9.1 - Prob. 25ECh. 9.1 - Prob. 26ECh. 9.1 - Prob. 27ECh. 9.1 - Prob. 28ECh. 9.1 - Prob. 29ECh. 9.1 - Personal Income The probability distribution of...Ch. 9.1 - Insurance An insurance company needs to determine...Ch. 9.1 - Insurance An insurance company needs to determine...Ch. 9.1 - Baseball A baseball fan examined the record of a...Ch. 9.1 - Games of Chance If x is a players net gain in a...Ch. 9.1 - Games of Chance If x is a players net gain in a...Ch. 9.1 - Prob. 37ECh. 9.1 - Prob. 38ECh. 9.2 - Prob. 1CPCh. 9.2 - Prob. 2CPCh. 9.2 - Prob. 3CPCh. 9.2 - Prob. 4CPCh. 9.2 - Prob. 5CPCh. 9.2 - Prob. 1SWUCh. 9.2 - Prob. 2SWUCh. 9.2 - Prob. 3SWUCh. 9.2 - Prob. 4SWUCh. 9.2 - Prob. 5SWUCh. 9.2 - Prob. 6SWUCh. 9.2 - Prob. 7SWUCh. 9.2 - Prob. 1ECh. 9.2 - Prob. 2ECh. 9.2 - Prob. 3ECh. 9.2 - Prob. 4ECh. 9.2 - Prob. 5ECh. 9.2 - Prob. 6ECh. 9.2 - Prob. 7ECh. 9.2 - Prob. 8ECh. 9.2 - Prob. 9ECh. 9.2 - Prob. 10ECh. 9.2 - Prob. 11ECh. 9.2 - Prob. 12ECh. 9.2 - Prob. 13ECh. 9.2 - Prob. 14ECh. 9.2 - Prob. 15ECh. 9.2 - Making a Probability Density Function In Exercises...Ch. 9.2 - Prob. 17ECh. 9.2 - Prob. 18ECh. 9.2 - Prob. 19ECh. 9.2 - Finding a Probability In Exercises 19-26, sketch...Ch. 9.2 - Prob. 21ECh. 9.2 - Prob. 22ECh. 9.2 - Prob. 23ECh. 9.2 - Prob. 24ECh. 9.2 - Prob. 25ECh. 9.2 - Finding a Probability In Exercises 19-26, sketch...Ch. 9.2 - Prob. 27ECh. 9.2 - Prob. 28ECh. 9.2 - Prob. 29ECh. 9.2 - Demand The daily demand for gasoline x (in...Ch. 9.2 - Prob. 31ECh. 9.2 - Prob. 32ECh. 9.2 - Using the Exponential Density Function In...Ch. 9.2 - Prob. 34ECh. 9.2 - Using the Exponential Density Function In...Ch. 9.2 - Prob. 36ECh. 9.2 - Prob. 37ECh. 9.2 - Demand The weekly demand x (in tons) for a certain...Ch. 9.2 - Prob. 39ECh. 9.3 - Prob. 1CPCh. 9.3 - Find the variance and standard deviation of the...Ch. 9.3 - Use a symbolic integration utility to find the...Ch. 9.3 - Prob. 4CPCh. 9.3 - Prob. 5CPCh. 9.3 - Prob. 6CPCh. 9.3 - Prob. 7CPCh. 9.3 - Prob. 1SWUCh. 9.3 - Prob. 2SWUCh. 9.3 - Prob. 3SWUCh. 9.3 - Prob. 4SWUCh. 9.3 - Prob. 5SWUCh. 9.3 - Prob. 6SWUCh. 9.3 - Finding Expected Value, Variance, and Standard...Ch. 9.3 - Prob. 2ECh. 9.3 - Prob. 3ECh. 9.3 - Prob. 4ECh. 9.3 - Finding Expected Value, Variance, and Standard...Ch. 9.3 - Prob. 6ECh. 9.3 - Prob. 7ECh. 9.3 - Prob. 8ECh. 9.3 - Prob. 9ECh. 9.3 - Prob. 10ECh. 9.3 - Prob. 11ECh. 9.3 - Finding Expected Value, Variance, and Standard...Ch. 9.3 - Prob. 13ECh. 9.3 - Using Two Methods In Exercises 13-16, find the...Ch. 9.3 - Prob. 15ECh. 9.3 - Using two Methods In Exercises 1316, find the...Ch. 9.3 - Using Technology In Exercises 17-22, use a...Ch. 9.3 - Using Technology In Exercises 17-22, use a...Ch. 9.3 - Using Technology In Exercises 17-22, use a...Ch. 9.3 - Using Technology In Exercises 17-22, use a...Ch. 9.3 - Prob. 21ECh. 9.3 - Prob. 22ECh. 9.3 - Prob. 23ECh. 9.3 - Prob. 24ECh. 9.3 - Prob. 25ECh. 9.3 - Prob. 26ECh. 9.3 - Prob. 27ECh. 9.3 - Prob. 28ECh. 9.3 - Prob. 29ECh. 9.3 - Prob. 30ECh. 9.3 - Prob. 31ECh. 9.3 - Prob. 32ECh. 9.3 - Prob. 33ECh. 9.3 - Prob. 34ECh. 9.3 - Prob. 35ECh. 9.3 - Prob. 36ECh. 9.3 - Consumer Trends The number of coupons x used by a...Ch. 9.3 - Prob. 38ECh. 9.3 - Prob. 39ECh. 9.3 - Prob. 40ECh. 9.3 - Transportation The arrival time t (in minutes) of...Ch. 9.3 - Prob. 42ECh. 9.3 - Prob. 43ECh. 9.3 - Prob. 44ECh. 9.3 - Prob. 45ECh. 9.3 - License Renewal The waiting time t (in minutes) at...Ch. 9.3 - Demand The daily demand x for a certain product...Ch. 9.3 - Prob. 48ECh. 9.3 - Demand The daily demand x for water (in millions...Ch. 9.3 - Prob. 50ECh. 9.3 - Prob. 54ECh. 9.3 - Prob. 55ECh. 9.3 - Education For high school graduates from 2012...Ch. 9.3 - Prob. 57ECh. 9 - Prob. 1RECh. 9 - Prob. 2RECh. 9 - Prob. 3RECh. 9 - Prob. 4RECh. 9 - Prob. 5RECh. 9 - Prob. 6RECh. 9 - Prob. 7RECh. 9 - Prob. 8RECh. 9 - Prob. 9RECh. 9 - Prob. 10RECh. 9 - Prob. 11RECh. 9 - Prob. 12RECh. 9 - Prob. 13RECh. 9 - Prob. 14RECh. 9 - Prob. 15RECh. 9 - Prob. 16RECh. 9 - Revenue A publishing company introduces a new...Ch. 9 - Prob. 18RECh. 9 - Prob. 19RECh. 9 - Prob. 20RECh. 9 - Prob. 21RECh. 9 - Prob. 22RECh. 9 - Prob. 23RECh. 9 - Prob. 24RECh. 9 - Prob. 25RECh. 9 - Prob. 26RECh. 9 - Prob. 27RECh. 9 - Prob. 28RECh. 9 - Prob. 29RECh. 9 - Prob. 30RECh. 9 - Prob. 31RECh. 9 - Prob. 32RECh. 9 - Prob. 33RECh. 9 - Prob. 34RECh. 9 - Prob. 35RECh. 9 - Prob. 36RECh. 9 - Waiting Time The waiting time t (in minutes) for...Ch. 9 - Prob. 38RECh. 9 - Prob. 39RECh. 9 - Prob. 40RECh. 9 - Prob. 41RECh. 9 - Prob. 42RECh. 9 - Prob. 43RECh. 9 - Prob. 44RECh. 9 - Prob. 45RECh. 9 - Prob. 46RECh. 9 - Prob. 47RECh. 9 - Prob. 48RECh. 9 - Prob. 49RECh. 9 - Prob. 50RECh. 9 - Prob. 51RECh. 9 - Prob. 52RECh. 9 - Prob. 53RECh. 9 - Prob. 54RECh. 9 - Prob. 55RECh. 9 - Prob. 56RECh. 9 - Prob. 57RECh. 9 - Prob. 58RECh. 9 - Prob. 59RECh. 9 - Prob. 60RECh. 9 - Prob. 61RECh. 9 - Prob. 62RECh. 9 - Prob. 1TYSCh. 9 - Prob. 2TYSCh. 9 - Prob. 3TYSCh. 9 - Prob. 4TYSCh. 9 - Prob. 5TYSCh. 9 - Prob. 6TYSCh. 9 - Prob. 7TYSCh. 9 - Prob. 8TYSCh. 9 - Prob. 9TYSCh. 9 - Prob. 10TYSCh. 9 - Prob. 11TYSCh. 9 - Prob. 12TYSCh. 9 - Prob. 13TYSCh. 9 - Prob. 14TYSCh. 9 - Prob. 15TYSCh. 9 - Prob. 16TYS
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
- The probability density function of the X random variablelike this.a. The probability of a random variable U defined as U = X^2Find the density function.b. V = 1/X Find the probability density function of the random variable V defined as.arrow_forwardProbability density function of U=3x−2 ii) What is the probability density function of u, that is f(u)arrow_forwardThe composite probability density function of continuous random variables X and Y is given as f (x, y) = c (x²+y²) , 0 <x <1, 0 <y <1. (a) Calculate the constant c.(b) Calculate the marginal probability functions of the continuous random variables X and Y.(c) Calculate the probability P (0<X<1/2 , 1/2<Y<1).arrow_forward
- Probability density function of the random variable X (pdf) fX(x) = ( c(1 − x2) −a ≤ x ≤ a ( 0 d.y get given in the form. Event |X − b| < a/2 defined as. variables a, b to probability rules randomly give the appropriate values. After determining the values of a, b; Under the condition A of the random variable X Find the probability density function.arrow_forwardThe random variable X has a uniform density function over the interval [-1, 1]. a. Sketch the probability density function of X. Find the mean and variance of X .arrow_forwardThe lifetime of a machine part has a continuous distribution on the interval (0,45) months with probability density function f, where f(x) is proportional to (4+x)-2. Find the probability that the lifetime of the machine part is less than 7 months.arrow_forward
- part a) Write down the joint probability density function fX,Y(x,y) of X and Y on its support.part b) Which values of the constants A, B, C, D, E are correctarrow_forwarda supermarket sells its products, both online and on-site. Joint probability density function, where X and Y represent online and on-site sales, respectively a)Find the probability A = {(x, y) I 0 <x <1/2, 1/4 <y <1/2}, P [(X, Y) ∈ A]. b)Find the marginal distribution of X and Y.arrow_forwardThe yearly cost in millions of dollars caused by Godzilla rampaging in Tokyo is a random variable with an exponential probability density functionf(x) = 0.45e−0.45x, [0, ∞) Find the median yearly cost (in millions of dollars) of Godzilla’s rampages.arrow_forward
- The total number of hours, measured in units of 100 hours, that a family runs a vacuum cleaner over a period of one year is a continuous random variable X that has the density function shown below. Find the probability that over a period of one year, a family runs their vacuum cleaner (a) less than 120 hours; (b) between 55 and 85 hours. f(x) = x, 0<x<1 2−x, 1≤x<2 0, elsewhere A.) The probability the family runs the vacuum cleaner less than 120 hours is B.) The probability the family runs the vacuum cleaner between 55 and 85 hours isarrow_forwardProof Let X be a random variable with EX2 < ∞ and let Y = |X|. Suppose that X has a Lebesgue density symmetric about 0. Show that X and Y are uncorrelated, but they are not independent.arrow_forwardThe time X of a certain chemical reaction, measured in hours, has the probability density function f(x) = -2x + 2 over the interval [0,1]. A. Draw the draw of this probability density function. B. Verify that it is a probability density function of a continous random variable X. C. Find the probability that the time of a reaction more than 0.5 hour.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Calculus: Early TranscendentalsCalculusISBN:9781285741550Author:James StewartPublisher:Cengage LearningThomas' Calculus (14th Edition)CalculusISBN:9780134438986Author:Joel R. Hass, Christopher E. Heil, Maurice D. WeirPublisher:PEARSONCalculus: Early Transcendentals (3rd Edition)CalculusISBN:9780134763644Author:William L. Briggs, Lyle Cochran, Bernard Gillett, Eric SchulzPublisher:PEARSON
- Calculus: Early TranscendentalsCalculusISBN:9781319050740Author:Jon Rogawski, Colin Adams, Robert FranzosaPublisher:W. H. FreemanCalculus: Early Transcendental FunctionsCalculusISBN:9781337552516Author:Ron Larson, Bruce H. EdwardsPublisher:Cengage Learning
Calculus: Early Transcendentals
Calculus
ISBN:9781285741550
Author:James Stewart
Publisher:Cengage Learning
Thomas' Calculus (14th Edition)
Calculus
ISBN:9780134438986
Author:Joel R. Hass, Christopher E. Heil, Maurice D. Weir
Publisher:PEARSON
Calculus: Early Transcendentals (3rd Edition)
Calculus
ISBN:9780134763644
Author:William L. Briggs, Lyle Cochran, Bernard Gillett, Eric Schulz
Publisher:PEARSON
Calculus: Early Transcendentals
Calculus
ISBN:9781319050740
Author:Jon Rogawski, Colin Adams, Robert Franzosa
Publisher:W. H. Freeman
Calculus: Early Transcendental Functions
Calculus
ISBN:9781337552516
Author:Ron Larson, Bruce H. Edwards
Publisher:Cengage Learning
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