Calculus: An Applied Approach (MindTap Course List)
10th Edition
ISBN: 9781305860919
Author: Ron Larson
Publisher: Cengage Learning
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Question
Chapter 9.2, Problem 25E
(a)
To determine
To calculate: The probability
(b)
To determine
To calculate:
The probability
(c)
To determine
To calculate: The probability
(d)
To determine
To calculate: The probability
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a) Find the conditional probability density function under the condition A = {X> 1/8}.b) Find the domain of the function.
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?
Using the uniform probability density function shown in Figure, find the probability that the random variable X is between 1.0 and 1.9.
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
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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
a) Find the conditional probability density function under the condition A = {X> 1/8}.b) Find the domain of the function.c) Find the conditional expected value of X.
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Do you dislike waiting in line? A supermarket chain has used computer simulation and information technology to reduce the average waiting time for customers at 2,300 stores. Using a new system, which allows the supermarket to better predict when shoppers will be checking out, the company was able to decrease average customer waiting time to just 28 seconds.
(a)Assume that supermarket waiting times are exponentially distributed. Show the probability density function of waiting time at the supermarket.
f(x) =
x ≥ 0
elsewhere
(b) What is the probability that a customer will have to wait between 30 and 45 seconds? (Round your answer to four decimal places.)
(c) What is the probability that a customer will have to wait more than 2 minutes? (Round your answer to four decimal places.)
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The random variable Xi , i = 1, 2, models the proportion of type i switches on a panel that are turned off during a training exercise. The joint probability density function of X1 and X2 is (attached):
Find the Covariance of (X1 , X2).
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PROOF
Let X and Y be continuous random variables with joint distribution function, F (x,y).
Let g (X,Y) and h (X,Y) be functions of X and Y.
PROVE
E[cg(X,Y)] = cE[g(X,Y)]
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Let ?(?) = ??2 for x = 1, 2, 3. Determine the constant c so that the function f(x) satisfies the conditions of being a probability mass function.
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Consider a constant function:
f(x)= c; a ≤ x ≤ b
Suppose that the function represents a probability density function and c<1 , which of the following is true?
a. |a−b|<0
b. |a−b|<1
c. |a−b|>1
d. |a−b|=1
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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 correct
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Draw the probability density function and calculate the sump function and draw it from the data below
Y F (y) 0 0.1 2 0.3 4 0.15 6 0.25 8 0.15 10 0.05
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Do you dislike waiting in line? A supermarket chain has used computer simulation and information technology to reduce the average waiting time for customers at 2,300 stores. Using a new system, which allows the supermarket to better predict when shoppers will be checking out, the company was able to decrease average customer waiting time to just 23 seconds.
(a)
Assume that supermarket waiting times are exponentially distributed. Show the probability density function of waiting time at the supermarket.
f(x) =
,
x ≥ 0
,
elsewhere
(b)
What is the probability that a customer will have to wait between 30 and 45 seconds? (Round your answer to four decimal places.)
(c)
What is the probability that a customer will have to wait more than 2 minutes? (Round your answer to four decimal places.)
arrow_forward
PROOF
Let X and Y be continuous random variables with joint distribution function, F (x,y).
Let g (X,Y) and h (X,Y) be functions of X and Y.
PROVE
E[g(X,Y) + h(X,Y)] = E[g(X,Y)] + E[h(X,Y)]
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(2) Let X1, X2, X3, X4 have the joint probability density function f(x1, x2, x3, x4) = ( 24e −(x1+x2+x3+x4) , 0 < x1, x2, x3, x4 < ∞ 0, elsewhere Let Y1 = X1, Y2 = X2 − X1, Y3 = X3 − X2, Y4 = X4 − X3. (i) Using the change of variable technique, find the joint probability density function of Y1, Y2, Y3, Y4 (ii) Find the conditional distribution of Y4 given Y1, Y2, Y3.
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Proof
Let X and Y be independent integrable random variables on a probability space and f be a nonnegative convex function. Show that E[f(X +Y)] ≥ E[f(X +EY)].
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