Solved: In Exercise 13, is any Ai independent of any other | StudySoup
Probability and Statistics for Engineering and the Sciences | 9th Edition | ISBN: 9781305251809 | Authors: Jay L. Devore

Table of Contents

1
Supplementary Exercises
1.1
Populations, Samples, and Processes
1.2
Pictorial and Tabular Methods inDescriptive Statistics
1.3
Measures of Location
1.4
Measures of Variability

2
Supplementary Exercises
2.1
Sample Spaces and Events
2.2
Axioms, Interpretations, and Properties of Probability
2.3
Counting Techniques
2.4
Conditional Probability
2.5
Independence

3
Supplementary Exercises
3.1
Random Variables
3.2
Probability Distributions for Discrete Random Variables
3.3
Expected Values
3.4
The Binomial Probability Distribution
3.5
Hypergeometric and Negative Binomial Distributions
3.6
The Poisson Probability Distribution

4
Supplementary Exercises
4.1
Probability Density Functions
4.2
Cumulative Distribution Functions and Expected Values
4.3
The Normal Distribution
4.4
The Exponential and Gamma Distributions
4.5
Other Continuous Distributions
4.6
Probability Plots

5
Supplementary Exercises
5.1
Jointly Distributed Random Variables
5.2
Expected Values, Covariance, and Correlation
5.3
Statistics and Their Distributions
5.4
The Distribution of the Sample Mean
5.5
The Distribution of a Linear Combination

6
Supplementary Exercises
6.1
Some General Concepts of Point Estimation
6.2
Methods of Point Estimation

7
Supplementary Exercises
7.1
Basic Properties of Confidence Intervals
7.2
Large-Sample Confidence Intervals for a Population Mean and Proportion
7.3
Intervals Based on a Normal Population Distribution
7.4
Confidence Intervals for the Variance and Standard Deviation of a Normal Population

8
Supplementary Exercises
8.1
Hypotheses and Test Procedures
8.2
z Tests for Hypotheses about a Population Mean
8.3
The One-Sample t Test
8.4
Tests Concerning a Population Proportion
8.5
Further Aspects of Hypothesis Testing

9
Supplementary Exercises
9.1
z Tests and Confidence Intervals for a Difference Between Two Population Means
9.2
The Two-Sample t Test and Confidence Interval
9.3
Analysis of Paired Data
9.4
Inferences Concerning a Difference Between Population Proportions
9.5
Inferences Concerning Two Population Variances

10
Supplementary Exercises
10.1
Single-Factor ANOVA
10.2
Multiple Comparisons in ANOVA
10.3
More on Single-Factor ANOVA

11
Supplementary Exercises
11.1
Two-Factor ANOVA with Kij 5 1
11.2
Two-Factor ANOVA with Kij . 1
11.3
Three-Factor ANOVA
11.4
2p Factorial Experiments

12
Supplementary Exercises
12.1
The Simple Linear Regression Model
12.2
Estimating Model Parameters
12.3
Inferences About the Slope Parameter b1
12.4
Inferences Concerning mY ? x* and the Prediction of Future Y Values
12.5
Correlation

13
Supplementary Exercises
13.1
Assessing Model Adequacy
13.2
Regression with Transformed Variables
13.3
Polynomial Regression
13.4
Multiple Regression Analysis
13.5
Other Issues in Multiple Regression

14
Supplementary Exercises
14.1
Goodness-of-Fit Tests When Category Probabilities Are Completely Specified
14.2
Goodness-of-Fit Tests for Composite Hypotheses
14.3
Two-Way Contingency Tables

15
Supplementary Exercises
15.1
The Wilcoxon Signed-Rank Test
15.2
The Wilcoxon Rank-Sum Test
15.3
Distribution-Free Confidence Intervals
15.4
Distribution-Free ANOVA

16
Supplementary Exercises
16.1
General Comments on Control Charts
16.2
Control Charts for Process Location
16.3
Control Charts for Process Variation
16.4
Control Charts for Attributes
16.5
CUSUM Procedures
16.6
Acceptance Sampling

Textbook Solutions for Probability and Statistics for Engineering and the Sciences

Chapter 2 Problem 72E

Question

Problem 72E

In Exercise 13, is any Ai independent of any other Aj? Answer using the multiplication property for independent events.

Reference exercise- 13

A computer consulting firm presently has bids out on three projects. Let Ai = { awarded project i}, for i = 1,2,3, and suppose that P(A1) =.22, P(A2) = .25, P(A3) = .28, P(A1∪A2) = .11,P?(A1∪A3)= .05, P(A2∩A3) = .07, P(A1∩A2∩A3)= .01. Express in words each of the following events, and compute the probability of each event:

a. A1∩A2

b.A′1∩A’2[Hint:( A1∪A2) ′= ( A′1∩A′2]

c.A1∪A2∪A3

d. A′1∩A′2∩A’3

e. A′1∩A′2∩A3

f.( A′1∩A′2) ∪A3

 

Solution

Answer :

Step 1 of 6 :

Given, A computer consulting firm presently has bids out on three projects. Let Ai = { awarded project i}, for i = 1,2,3,

suppose that P(A1) =.22

                     P(A2) = .25

                     P(A3) = .28

                     P(A1∩A2) = .11

                     P(A1∩A3)= .05

                     P(A2∩ A3) = .07

                     P(A1∩A2∩A3)= .01.

Probability of independence condition is P(AB) = P(A) P(B)

  1. P() = P() P()

                               = (0.22) (0.25)

                              = 0.055

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full solution

Title Probability and Statistics for Engineering and the Sciences 9 
Author Jay L. Devore
ISBN 9781305251809

Solved: In Exercise 13, is any Ai independent of any other

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