Refer to Exercise 4.a. Find the conditional probability

Statistics for Engineers and Scientists | 4th Edition | ISBN: 9780073401331 | Authors: William Navidi

Problem 6E Chapter 2.6

Statistics for Engineers and Scientists | 4th Edition

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Statistics for Engineers and Scientists | 4th Edition | ISBN: 9780073401331 | Authors: William Navidi

Statistics for Engineers and Scientists | 4th Edition

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Problem 6E

Refer to Exercise 4.

a. Find the conditional probability mass function PY|X(y|1).

b. Find the conditional probability mass function PX|Y(x|2).

c. Find the conditional expectation E(Y | X = 1).

d. Find the conditional expectation E(X | Y = 2).

REFERENCE EXERCISE 4: In a piston assembly, the specifications for the clearance between piston rings and the cylinder wall are very tight. In a lot of assemblies, let X be the number with too little clearance and let Y be the number with too much clearance. The joint probability mass function of X and Y is given in the table below:

a. Find the marginal probability mass function of X.

b. Find the marginal probability mass function of Y.

c. Are X and Y independent? Explain.

d. Find μX and μY.

e. Find σX and σY.

f. Find Cov(X, Y).

g. Find ρ(X, Y).

Step-by-Step Solution:

Step 1 of 5:

Here,it is given that X be the number with too little clearance and Y be the number with too much clearance.

Also the joint probability mass function of X and Y is given as

                                                                      Y

         X

           0

          1

             2

           3

          0

        0.15

         0.12

          0.11

          0.10

          1

         0.09

         0.07

          0.05

           0.04

           2

         0.06

         0.05

          0.04

           0.02

           3

         0.04

         0.03

         0.02

           0.01

Using these,we have to find the required probabilities and expectations.

Step 2 of 5:

(a)

Here,we have to find the conditional probability of Y given x at X=1.

That is we have to find .

This is given by,

=

                 =

 at Y=0 is

=

 where,

0.09+0.07+0.05+0.04

            =0.25

Thus,

=

                 =0.36

At Y=1,

=

                 =

                 =0.28

At Y=2,

=

                 =

                 =0.20

At Y=3,

=

                 =

                 =0.16

Hence, is 0.36,at Y=0,0.28 at Y=1,0.20 at Y=2,0.16 at Y=3.

Step 3 of 5:

(b)

Here we have to find the conditional probability mass function of X given Y at Y=2.That is we have to find .This is given by,

=

where

 =0.11+0.05+0.04+0.02

           =0.22

Now,

 at X=0 is

=

                 =

                 =0.5

 at X=1 is

=

                 =

                 =0.2273

 at X=2 is

=

                 =

                 =0.1818

 at X=3 is

=

                 =

                 =0.0909

Thus, is 0.5 at X=0,0.2273 at X=1,0.1818 at X=2 and 0.0909 at X=3.

Step 4 of 5

Chapter 2.6, Problem 6E is Solved
Step 5 of 5

Textbook: Statistics for Engineers and Scientists
Edition: 4th
Author: William Navidi
ISBN: 9780073401331

This textbook survival guide was created for the textbook: Statistics for Engineers and Scientists , edition: 4th. The full step-by-step solution to problem: 6E from chapter: 2.6 was answered by Patricia, our top Statistics solution expert on 06/28/17, 11:15AM. Statistics for Engineers and Scientists was written by Patricia and is associated to the ISBN: 9780073401331. Since the solution to 6E from 2.6 chapter was answered, more than 496 students have viewed the full step-by-step answer. The answer to “Refer to Exercise 4.a. Find the conditional probability mass function PY|X(y|1).b. Find the conditional probability mass function PX|Y(x|2).c. Find the conditional expectation E(Y | X = 1).d. Find the conditional expectation E(X | Y = 2).REFERENCE EXERCISE 4: In a piston assembly, the specifications for the clearance between piston rings and the cylinder wall are very tight. In a lot of assemblies, let X be the number with too little clearance and let Y be the number with too much clearance. The joint probability mass function of X and Y is given in the table below: a. Find the marginal probability mass function of X.b. Find the marginal probability mass function of Y.c. Are X and Y independent? Explain.d. Find ?X and ?Y.e. Find ?X and ?Y.f. Find Cov(X, Y).g. Find ?(X, Y).” is broken down into a number of easy to follow steps, and 133 words. This full solution covers the following key subjects: conditional, Find, expectation, Probability, mass. This expansive textbook survival guide covers 153 chapters, and 2440 solutions.

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