Statistics for Engineers and Scientists

by Navidi, William C.

• ISBN13: 9780073107677
• ISBN10: 0073107670
• Edition: 1st
• Format: Hardcover
• Copyright: 2004-12-30
• Publisher: McGraw-Hill Science/Engineering/Math

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