A manufactured item is classified as good, a “second,” or | StudySoup
Probability and Statistical Inference | 9th Edition | ISBN: 9780321923271 | Authors: Robert V. Hogg, Elliot Tanis, Dale Zimmerman

Table of Contents

1.1
Probability
1.2
Probability
1.3
Probability
1.4
Probability
1.5
Probability

2.1
Discrete Distributions
2.2
Discrete Distributions
2.3
Discrete Distributions
2.4
Discrete Distributions
2.5
Discrete Distributions
2.6
Discrete Distributions

3.1
Continuous Distributions
3.2
Continuous Distributions
3.3
Continuous Distributions
3.4
Continuous Distributions

4.1
Bivariate Distributions
4.2
Bivariate Distributions
4.3
Bivariate Distributions
4.4
Bivariate Distributions
4.5
Bivariate Distributions

5.1
Distributions of Functions of Random Variables
5.2
Distributions of Functions of Random Variables
5.3
Distributions of Functions of Random Variables
5.4
Distributions of Functions of Random Variables
5.5
Distributions of Functions of Random Variables
5.6
Distributions of Functions of Random Variables
5.7
Distributions of Functions of Random Variables
5.8
Distributions of Functions of Random Variables
5.9
Distributions of Functions of Random Variables

6.1
Point Estimation
6.2
Point Estimation
6.3
Point Estimation
6.4
Point Estimation
6.5
Point Estimation
6.6
Point Estimation
6.7
Point Estimation
6.8
Point Estimation
6.9
Point Estimation

7.1
Interval Estimation
7.2
Interval Estimation
7.3
Interval Estimation
7.4
Interval Estimation
7.5
Interval Estimation
7.6
Interval Estimation
7.7
Interval Estimation

8.1
Tests of Statistical Hypotheses
8.2
Tests of Statistical Hypotheses
8.3
Tests of Statistical Hypotheses
8.4
Tests of Statistical Hypotheses
8.5
Tests of Statistical Hypotheses
8.6
Tests of Statistical Hypotheses
8.7
Tests of Statistical Hypotheses

9.1
More Tests
9.2
More Tests
9.3
More Tests
9.4
More Tests
9.5
More Tests
9.6
More Tests
9.7
More Tests

Textbook Solutions for Probability and Statistical Inference

Chapter 4.1 Problem 9E

Question

PROBLEM 9E

A manufactured item is classified as good, a “second,” or defective with probabilities 6/10, 3/10, and 1/10, respectively. Fifteen such items are selected at random from the production line. Let X denote the number of good items, Y the number of seconds, and 15 − X Y the number of defective items.

(a) Give the joint pmf of X and Y, f (x, y).

(b) Sketch the set of integers (x, y) for which f (x, y) > 0. From the shape of this region, can X and Y be independent?Why or why not?

(c) Find P(X = 10,Y = 4).

(d) Give the marginal pmf of X.

(e) Find P(X ≤ 11).

Solution

Answer :

Step 1 of 1 :

Let X denote the number of good items and

Let y denote the number of seconds and 1-X-Y defective.

Here 15 items are selected at random from the production line.

So n = 15.

We know that

The probabilities of defective item is

6/10 = 0.6,

3/10 = 0.3

1/10 = 0.1and

Here and

pmf(x,y) = Prob {X good items, Y seconds defective}

Our goal is to find

a). Give the joint pmf of X and Y, f(x,y).

b). Sketch the set of integer (x,y) for f(x,y)>0. From the shape of this region, can X and Y be

      independent ? why or why not?

c). Find P(X=10,Y=4)

d). Find the marginal pmf of X.

e). Find

a).

Now we have to determine the joint pmf of X and Y.

Then the joint pmf X and Y is

 

 

 

 

Hence the the joint pmf of X and Y is above.

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full solution

Title Probability and Statistical Inference  9 
Author Robert V. Hogg, Elliot Tanis, Dale Zimmerman
ISBN 9780321923271

A manufactured item is classified as good, a “second,” or

Chapter 4.1 textbook questions

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