Table of contents for Statistics for engineers and scientists / William Navidi.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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BRIEF CONTENTS
Preface xi
Acknowledgments of Reviewers and Contributors xv 
Key Features xix
1
Sampling and Descriptive 
Statistics 1
2
Probability 50
3
Propagation of Error
157
4
Commonly Used 
Distributions 192
5
Confidence Intervals
300
6
Hypothesis Testing 368
7
Correlation and Simple 
Linear Regression 475
8
Multiple Regression 556
9
Factorial Experiments 623
10
Statistical Quality Control 
723
Appendix A: Tables 763
Appendix B: Partial Derivatives 787
Appendix C: Bibliography 789
Answers to Odd-Numbered Exercises 792
Index
859
CONTENTS
Preface xi
Acknowledgments of Reviewers and Contributors xv
Key Features xix
Chapter 1
Sampling and 
Descriptive 
Statistics 1
Introduction 1
1.1 Sampling 3
1.2 Summary Statistics 13
1.3 Graphical Summaries 25
Chapter 2
Probability 50
Introduction 50
2.1 Basic Ideas 50
2.2 Counting Methods (Optional) 62
2.3 Conditional Probability and Independence 69
2.4 Random Variables 88
2.5 Linear Functions of Random Variables 111
2.6 Jointly Distributed Random Variables (Optional) 120
Chapter 3
Propagation of Error 157
Introduction 157
3.1 Measurement Error 157
3.2 Linear Combinations of Measurements 163
3.3 Uncertainties for Functions of One Measurement 173
3.4 Uncertainties for Functions of Several Measurements 179
Chapter 4
Commonly Used Distributions 192
Introduction 192
4.1 The Bernoulli Distribution 192
4.2 The Binomial Distribution 195
4.3 The Poisson Distribution 206
4.4 Some Other Discrete Distributions 220
4.5 The Normal Distribution 231
4.6 The Lognormal Distribution 244
4.7 The Exponential Distribution 250
4.8 The Gamma and Weibull Distributions 259
4.9 Probability Plots 265
4.10 The Central Limit Theorem 270
4.11 Simulation 281
Chapter 5
Introduction 300
5.1 Large-Sample Confidence Intervals for a Population Mean 301
5.2 Confidence Intervals for Proportions 315
5.3 Small-Sample Confidence Intervals for a Population Mean 321
5.4 Confidence Intervals for the Difference Between Two Means 331
5.5 Confidence Intervals for the Difference Between Two Proportions 335
5.6 Small-Sample Confidence Intervals for the Difference Between Two Means 339
5.7 Confidence Intervals with Paired Data 346
5.8 Using Simulation to Construct Confidence Intervals 351
Chapter 6
Hypothesis Testing 368
Introduction 368
6.1 Large-Sample Tests for a Population Mean 368
6.2 Drawing Conclusions from the Results of Hypothesis Tests 377
6.3 Tests for a Population Proportion 385
6.4 Small-Sample Tests for a Population Mean 390
6.5 Large-Sample Tests for the Difference Between Two Means 395
6.6 Tests for the Difference Between 401
6.7 Small-Sample Tests for the Difference Between Two Means 407
6.8 Tests with Paired Data
415
6.9 Distribution-Free Tests
420
6.10 The Chi-Square Test 429
6.11 The F Test for Equality of Variance 439
6.12 Fixed-Level Testing 443
6.13 Power 449
6.14 Multiple Tests 458
6.15 Using Simulation to Perform Hypothesis Tests 462
Chapter 7
Correlation and Simple Linear Regression 475
Introduction 475
7.1 Correlation 475
7.2 The Least-Squares Line 492
7.3 Uncertainties in the Least-Squares Coefficients 508
7.4 Checking Assumptions and Transforming Data 527
Chapter 8
Multiple Regression 556
Introduction 556
8.1 The Multiple Regression Model 556
8.2 Confounding and Collinearity 574
8.3 Model Selection 583
Chapter 9
Factorial Experiments 623
Two Proportions
Introduction
623
9.1 One-Factor Experiments 623
9.2 Pairwise Comparisons in One-Factor Experiments 646
9.3 Two-Factor Experiments 659
9.4 Randomized Complete Block Designs 683
9.5 2p Factorial Experiments 693
Chapter 10
Statistical Quality Control 723
Introduction 723
10.1 Basic Ideas 723
10.2 Control Charts for Variables 726
10.3 Control Charts 
for Attributes 746
10.4 The CUSUM 
chart 751
10.5 Process Capability 755
Appendix A: Tables 763
Appendix B: Partial Derivatives 787
Appendix C: Bibliography 789
Answers to Odd-Numbered Exercises 792
Index 859

Library of Congress Subject Headings for this publication:

Mathematical statistics -- Simulation methods.
Bootstrap (Statistics).
Linear models (Statistics).