Example 7.10 The number K of parcels that the drivers of a parcel delivery service company can load in their trucks is a random variable with the PMF Pk(k)= 40% -40 k! k = 0. 1. 2.... The weight W of a parcel in pounds is a continuous random variable with PDF fw (w) = {1/6 1/6 3≤w ≤9 otherwise Let X denote the weight of a randomly selected loaded truck. a. What is the s-transform of the PDF of X? b. What is the expected value of X? c. What is the variance of X?
Example 7.10 The number K of parcels that the drivers of a parcel delivery service company can load in their trucks is a random variable with the PMF Pk(k)= 40% -40 k! k = 0. 1. 2.... The weight W of a parcel in pounds is a continuous random variable with PDF fw (w) = {1/6 1/6 3≤w ≤9 otherwise Let X denote the weight of a randomly selected loaded truck. a. What is the s-transform of the PDF of X? b. What is the expected value of X? c. What is the variance of X?
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 31E
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![Example 7.10 The number K of parcels that the drivers of a parcel delivery.
service company can load in their trucks is a random variable with the PMF
Pk(k)=
40%e-40
k!
k = 0. 1. 2....
The weight W of a parcel in pounds is a continuous random variable with PDF
1/6
fw (w) = {1/6
3≤w ≤9
otherwise
Let X denote the weight of a randomly selected loaded truck.
a. What is the s-transform of the PDF of X?
b. What is the expected value of X?
c. What is the variance of X?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2bdc87a8-b801-416c-bb3a-8472b8a29212%2Fb5ed5575-3f6e-4f9d-b97a-7b22c47c6480%2Ftefite8_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Example 7.10 The number K of parcels that the drivers of a parcel delivery.
service company can load in their trucks is a random variable with the PMF
Pk(k)=
40%e-40
k!
k = 0. 1. 2....
The weight W of a parcel in pounds is a continuous random variable with PDF
1/6
fw (w) = {1/6
3≤w ≤9
otherwise
Let X denote the weight of a randomly selected loaded truck.
a. What is the s-transform of the PDF of X?
b. What is the expected value of X?
c. What is the variance of X?
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