Answer: Human visual inspection of solder joints on | 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 19E

Question

Problem 19E

Human visual inspection of solder joints on printed circuit boards can be very subjective. Part of the problem stems from the numerous types of solder defects (e.g., pad nonwetting, knee visibility, voids) and even the degree to which a joint possesses one or more of these defects. Consequently, even highly trained inspectors can disagree on the disposition of a particular joint. In one batch of 10,000 joints, inspector A found 724 that were judged defective, inspector B found 751 such joints, and 1159 of the joints were judged defective by at least one of the inspectors. Suppose that one of the 10,000 joints is randomly selected.

a. What is the probability that the selected joint was judged to be defective by neither of the two inspectors?

b. What is the probability that the selected joint was judged to be defective by inspector B but not by inspector A?

 

Solution

Answer

Step 1 of 4

 A: the set of defective joints found by inspector A.=724

 B: the set of defective joints found by inspector B.=751

AB:the joints were judged defective by at least one of the inspectors=1159

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full solution

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

Answer: Human visual inspection of solder joints on

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