Probability and Statistics for Engineers and Scientists 4th Edition, ISBN-13: 978-1111827045

Description

Probability and Statistics for Engineers and Scientists 4th Edition, ISBN-13: 978-1111827045

[PDF eBook eTextbook]

• Publisher: ‎ Cengage Learning; 4th edition (January 1, 2012)
• Language: ‎ English
• ‎864 pages
• ISBN-10: ‎ 1111827044
• ISBN-13: ‎ 978-1111827045

PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily–and understands their vocabulary. The result of this familiarity with the professional community is a clear and readable writing style that readers understand and appreciate, as well as high-interest, relevant examples and data sets that hold readers’ attention. A flexible approach to the use of computer tools includes tips for using various software packages as well as computer output (using MINITAB and other programs) that offers practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in a variety of engineering areas as well as for students in physics, chemistry, computing, biology, management, and mathematics.

Table of Contents:

About the Author

Contents

Preface

Case Studies

Ch 1: Probability Theory

1.1 Probabilities

1.2 Events

1.3 Combinations of Events

1.4 Conditional Probability

1.5 Probabilities of Event Intersections

1.6 Posterior Probabilities

1.7 Counting Techniques

1.8 Case Study: Microelectronic Solder Joints

1.9 Case Study: Internet Marketing

1.10 Supplementary Problems

Ch 2: Random Variables

2.1 Discrete Random Variables

2.2 Continuous Random Variables

2.3 The Expectation of a Random Variable

2.4 The Variance of a Random Variable

2.5 Jointly Distributed Random Variables

2.6 Combinations and Functions of Random Variables

2.7 Case Study: Microelectronic Solder Joints

2.8 Case Study: Internet Marketing

2.9 Supplementary Problems

Ch 3: Discrete Probability Distributions

3.1 The Binomial Distribution

3.2 The Geometric and Negative Binomial Distributions

3.3 The Hypergeometric Distribution

3.4 The Poisson Distribution

3.5 The Multinomial Distribution

3.6 Case Study: Microelectronic Solder Joints

3.7 Case Study: Internet Marketing

3.8 Supplementary Problems

Ch 4: Continuous Probability Distributions

4.1 The Uniform Distribution

4.2 The Exponential Distribution

4.3 The Gamma Distribution

4.4 The Weibull Distribution

4.5 The Beta Distribution

4.6 Case Study: Microelectronic Solder Joints

4.7 Case Study: Internet Marketing

4.8 Supplementary Problems

Ch 5: The Normal Distribution

5.1 Probability Calculations Using the Normal Distribution

5.2 Linear Combinations of Normal Random Variables

5.3 Approximating Distributions with the Normal Distribution

5.4 Distributions Related to the Normal Distribution

5.5 Case Study: Microelectronic Solder Joints

5.6 Case Study: Internet Marketing

5.7 Supplementary Problems

Ch 6: Descriptive Statistics

6.1 Experimentation

6.2 Data Presentation

6.3 Sample Statistics

6.4 Examples

6.5 Case Study: Microelectronic Solder Joints

6.6 Case Study: Internet Marketing

6.7 Supplementary Problems

Ch 7: Statistical Estimation and Sampling Distributions

7.1 Point Estimates

7.2 Properties of Point Estimates

7.3 Sampling Distributions

7.4 Constructing Parameter Estimates

7.5 Case Study: Microelectronic Solder Joints

7.6 Case Study: Internet Marketing

7.7 Supplementary Problems

Guide to Statistical Inference Methodologies

Ch 8: Inferences on a Population Mean

8.1 Confidence Intervals

8.2 Hypothesis Testing

8.3 Summary

8.4 Case Study: Microelectronic Solder Joints

8.5 Case Study: Internet Marketing

8.6 Supplementary Problems

Ch 9: Comparing Two Population Means

9.1 Introduction

9.2 Analysis of Paired Samples

9.3 Analysis of Independent Samples

9.4 Summary

9.5 Case Study: Microelectronic Solder Joints

9.6 Case Study: Internet Marketing

9.7 Supplementary Problems

Ch 10: Discrete Data Analysis

10.1 Inferences on a Population Proportion

10.2 Comparing Two Population Proportions

10.3 Goodness of Fit Tests for One-Way Contingency Tables

10.4 Testing for Independence in Two-Way Contingency Tables

10.5 Case Study: Microelectronic Solder Joints

10.6 Case Study: Internet Marketing

10.7 Supplementary Problems

Ch 11: The Analysis of Variance

11.1 One-Factor Analysis of Variance

11.2 Randomized Block Designs

11.3 Case Study: Microelectronic Solder Joints

11.4 Case Study: Internet Marketing

11.5 Supplementary Problems

Ch 12: Simple Linear Regression and Correlation

12.1 The Simple Linear Regression Model

12.2 Fitting the Regression Line

12.3 Inferences on the Slope Parameter B

12.4 Inferences on the Regression Line

12.5 Prediction Intervals for Future Response Values

12.6 The Analysis of Variance Table

12.7 Residual Analysis

12.8 Variable Transformations

12.9 Correlation Analysis

12.10 Case Study: Microelectronic Solder Joints

12.11 Case Study: Internet Marketing

12.12 Supplementary Problems

Ch 13: Multiple Linear Regression and Nonlinear Regression

13.1 Introduction to Multiple Linear Regression

13.2 Examples of Multiple Linear Regression

13.3 Matrix Algebra Formulation of Multiple Linear Regression

13.4 Evaluating Model Adequacy

13.5 Nonlinear Regression

13.6 Case Study: Internet Marketing

13.7 Supplementary Problems

Ch 14: Multifactor Experimental Design and Analysis

14.1 Experiments with Two Factors

14.2 Experiments with Three or More Factors

14.3 Case Study: Internet Marketing

14.4 Supplementary Problems

Ch 15: Nonparametric Statistical Analysis

15.1 The Analysis of a Single Population

15.2 Comparing Two Populations

15.3 Comparing Three or More Populations

15.4 Case Study: Internet Marketing

15.5 Supplementary Problems

Ch 16: Quality Control Methods

16.1 Introduction

16.2 Statistical Process Control

16.3 Variable Control Charts

16.4 Attribute Control Charts

16.5 Acceptance Sampling

16.6 Case Study: Internet Marketing

16.7 Supplementary Problems

Ch 17: Reliability Analysis and Life Testing

17.1 System Reliability

17.2 Modeling Failure Rates

17.3 Life Testing

17.4 Case Study: Internet Marketing

17.5 Supplementary Problems

Tables

Answers to Odd-Numbered Problems

Index

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