Statistics for Engineers and Scientists,9780073107677

Statistics for Engineers and Scientists

by
Edition: 1st
ISBN13: 9780073107677
ISBN10: 0073107670
Format: Hardcover
Pub. Date: 2004-12-30
Publisher(s): McGraw-Hill Science/Engineering/Math
List Price: $157.41

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Summary

Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.

Table of Contents

Preface xi
Acknowledgments of Reviewers and Contributors xv
Key Features xix
Sampling and Descriptive Statistics
1(49)
Introduction
1(2)
Sampling
3(10)
Summary Statistics
13(12)
Graphical Summaries
25(25)
Probability
50(107)
Introduction
50(1)
Basic Ideas
50(12)
Counting Methods (Optional)
62(7)
Conditional Probability and Independence
69(19)
Random Variables
88(23)
Linear Functions of Random Variables
111(9)
Jointly Distributed Random Variables (Optional)
120(37)
Propagation of Error
157(35)
Introduction
157(1)
Measurement Error
157(6)
Linear Combinations of Measurements
163(10)
Uncertainties for Functions of One Measurement
173(6)
Uncertainties for Functions of Several Measurements
179(13)
Commonly Used Distributions
192(108)
Introduction
192(1)
The Bernoulli Distribution
192(3)
The Binomial Distribution
195(11)
The Poisson Distribution
206(14)
Some Other Discrete Distributions
220(11)
The Normal Distribution
231(13)
The Lognormal Distribution
244(6)
The Exponential Distribution
250(9)
The Gamma and Weibull Distributions
259(6)
Probability Plots
265(5)
The Central Limit Theorem
270(11)
Simulation
281(19)
Confidence Intervals
300(68)
Introduction
300(1)
Large-Sample Confidence Intervals for a Population Mean
301(14)
Confidence Intervals for Proportions
315(6)
Small-Sample Confidence Intervals for a Population Mean
321(10)
Confidence Intervals for the Difference Between Two Means
331(4)
Confidence Intervals for the Difference Between Two Proportions
335(4)
Small-Sample Confidence Intervals for the Difference Between Two Means
339(7)
Confidence Intervals with Paired Data
346(5)
Using Simulation to Construct Confidence Intervals
351(17)
Hypothesis Testing
368(107)
Introduction
368(1)
Large-Sample Tests for a Population Mean
368(9)
Drawing Conclusions from the Results of Hypothesis Tests
377(8)
Tests for a Population Proportion
385(5)
Small-Sample Tests for a Population Mean
390(5)
Large-Sample Tests for the Difference Between Two Means
395(6)
Tests for the Difference Between Two Proportions
401(6)
Small-Sample Tests for the Difference Between Two Means
407(8)
Tests with Paired Data
415(5)
Distribution-Free Tests
420(9)
The Chi-Square Test
429(10)
The F Test for Equality of Variance
439(4)
Fixed-Level Testing
443(6)
Power
449(9)
Multiple Tests
458(4)
Using Simulation to Perform Hypothesis Tests
462(13)
Correlation and Simple Linear Regression
475(81)
Introduction
475(1)
Correlation
475(17)
The Least-Squares Line
492(16)
Uncertainties in the Least-Squares Coefficients
508(19)
Checking Assumptions and Transforming Data
527(29)
Multiple Regression
556(67)
Introduction
556(1)
The Multiple Regression Model
556(18)
Confounding and Collinearity
574(9)
Model Selection
583(40)
Factorial Experiments
623(100)
Introduction
623(1)
One-Factor Experiments
623(23)
Pairwise Comparisons in One-Factor Experiments
646(13)
Two-Factor Experiments
659(24)
Randomized Complete Block Designs
683(10)
2p Factorial Experiments
693(30)
Statistical Quality Control
723(40)
Introduction
723(1)
Basic Ideas
723(3)
Control Charts for Variables
726(20)
Control Charts for Attributes
746(5)
The CUSUM chart
751(4)
Process Capability
755(8)
Appendix A: Tables 763(24)
Appendix B: Partial Derivatives 787(2)
Appendix C: Bibliography 789(3)
Answers to Odd-Numbered Exercises 792(67)
Index 859

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