Probability and Statistics for Engineering and the Sciences,9780534372811

Probability and Statistics for Engineering and the Sciences

by
Edition: 5th
ISBN13: 9780534372811
ISBN10: 0534372813
Format: Hardcover
Pub. Date: 1999-12-09
Publisher(s): Duxbury Press
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Summary

This market-leading text provides a comprehensive introduction to probability models and statistical methods for students in engineering and the physical and natural sciences. It is a proven, accurate book with great examples from an outstanding author, Jay Devore. Through the use of lively and realistic examples with real data, students go beyond simply learning statistics and probability--they actually experience its potential.

Table of Contents

Overview and Descriptive Statistics
1(51)
Introduction
1(2)
Populations, Samples, and Processes
3(8)
Pictorial and Tabular Methods in Descriptive Statistics
11(17)
Measures of Location
28(8)
Measures of Variability
36(16)
Supplementary Exercises
48(3)
Bibliography
51(1)
Probability
52(44)
Introduction
52(1)
Sample Spaces and Events
53(5)
Axioms, Interpretations, and Properties of Probability
58(9)
Counting Techniques
67(8)
Conditional Probability
75(11)
Independence
86(10)
Supplementary Exercises
92(3)
Bibliography
95(1)
Discrete Random Variables and Probability Distributions
96(47)
Introduction
96(1)
Random Variables
96(4)
Probability Distributions for Discrete Random Variables
100(10)
Expected Values of Discrete Random Variables
110(9)
The Binomial Probability Distribution
119(8)
Hypergeometric and Negative Binomial Distributions
127(7)
The Poisson Probability Distribution
134(9)
Supplementary Exercises
139(3)
Bibliography
142(1)
Continuous Random Variables and Probability Distributions
143(58)
Introduction
143(1)
Continuous Random Variables and Probability Density Functions
143(6)
Cumulative Distribution Functions and Expected Values
149(9)
The Normal Distribution
158(13)
The Gamma Distribution and Its Relatives
171(7)
Other Continuous Distributions
178(7)
Probability Plots
185(16)
Supplementary Exercises
196(4)
Bibliography
200(1)
Joint Probability Distributions and Random Samples
201(48)
Introduction
201(1)
Jointly Distributed Random Variables
202(13)
Expected Values, Covariance, and Correlation
215(6)
Statistics and Their Distributions
221(12)
The Distribution of the Sample Mean
233(6)
The Distribution of a Linear Combination
239(10)
Supplementary Exercises
245(3)
Bibliography
248(1)
Point Estimation
249(28)
Introduction
249(1)
Some General Concepts of Point Estimation
250(15)
Methods of Point Estimation
265(12)
Supplementary Exercises
274(1)
Bibliography
275(2)
Statistical Intervals Based on a Single Sample
277(33)
Introduction
277(1)
Basic Properties of Confidence Intervals
278(9)
Large-Sample Confidence Intervals for a Population Mean and Proportion
287(8)
Intervals Based on a Normal Population Distribution
295(9)
Confidence Intervals for the Variance and Standard Deviation of a Normal Population
304(6)
Supplementary Exercises
307(2)
Bibliography
309(1)
Tests of Hypotheses Based on a Single Sample
310(44)
Introduction
310(1)
Hypotheses and Test Procedures
311(10)
Tests About a Population Mean
321(13)
Tests Concerning a Population Proportion
334(5)
P-Values
339(8)
Some Comments on Selecting a Test Procedure
347(7)
Supplementary Exercises
350(3)
Bibliography
353(1)
Inferences Based on Two Samples
354(48)
Introduction
354(1)
z Tests and Confidence Intervals for a Difference Between Two Population Means
355(11)
The Two-Sample t Test and Confidence Interval
366(8)
Analysis of Paired Data
374(10)
Inferences Concerning a Difference Between Population Proportions
384(8)
Inferences Concerning Two Population Variances
392(10)
Supplementary Exercises
396(5)
Bibliography
401(1)
The Analysis of Variance
402(31)
Introduction
402(1)
Single-Factor ANOVA
403(11)
Multiple Comparisons in ANOVA
414(6)
More on Single-Factor ANOVA
420(13)
Supplementary Exercises
430(2)
Bibliography
432(1)
Multifactor Analysis of Variance
433(55)
Introduction
433(1)
Two-Factor ANOVA with Kij = 1
434(14)
Two-Factor ANOVA with Kij > 1
448(9)
Three-Factor ANOVA
457(11)
2p Factorial Experiments
468(20)
Supplementary Exercises
483(3)
Bibliography
486(2)
Simple Linear Regression and Correlation
488(55)
Introduction
488(1)
The Simple Linear Regression Model
489(8)
Estimating Model Parameters
497(15)
Inferences About the Slope Parameter β
512(8)
Inferences Concerning μy.x* and the Prediction of Future Y Values
520(8)
Correlation
528(15)
Supplementary Exercises
538(4)
Bibliography
542(1)
Nonlinear and Multiple Regression
543(73)
Introduction
543(1)
Aptness of the Model and Model Checking
544(8)
Regression with Transformed Variables
552(10)
Polynomial Regression
562(11)
Multiple Regression Analysis
573(24)
Other Issues in Multiple Regression
597(19)
Supplementary Exercises
610(5)
Bibliography
615(1)
The Analysis of Categorical Data
616(33)
Introduction
616(1)
Goodness-of-Fit Tests When Category Probabilities Are Completely Specified
617(8)
Goodness of Fit for Composite Hypotheses
625(13)
Two-Way Contingency Tables
638(11)
Supplementary Exercises
646(2)
Bibliography
648(1)
Distribution-Free Procedures
649(29)
Introduction
649(1)
The Wilcoxon Signed-Rank Test
650(9)
The Wilcoxon Rank-Sum Test
659(7)
Distribution-Free Confidence Intervals
666(5)
Distribution-Free ANOVA
671(7)
Supplementary Exercises
675(2)
Bibliography
677(1)
Quality Control Methods
678(39)
Introduction
678(1)
General Comments on Control Charts
679(2)
Control Charts for Process Location
681(9)
Control Charts for Process Variation
690(5)
Control Charts for Attributes
695(5)
CUSUM Procedures
700(9)
Acceptance Sampling
709(8)
Supplementary Exercises
715(1)
Bibliography
716(1)
Appendix Tables 717(28)
A.1 Cumulative Binomial Probabilities
718(2)
A.2 Cumulative Poisson Probabilities
720(2)
A.3 Standard Normal Curve Areas
722(2)
A.4 The Incomplete Gamma Function
724(1)
A.5 Critical Values for t Distributions
725(1)
A.6 Tolerance Critical Values for Normal Population Distributions
726(1)
A.7 Critical Values for Chi-Squared Distributions
727(1)
A.8 t Curve Tail Areas
728(2)
A.9 Critical Values for F Distributions
730(6)
A.10 Critical Values for Studentized Range Distributions
736(1)
A.11 Chi-Squared Curve Tail Areas
737(2)
A.12 Critical Values for the Ryan-Joiner Test of Normality
739(1)
A.13 Critical Values for the Wilcoxon Signed-Rank Test
740(1)
A.14 Critical Values for the Wilcoxon Rank-Sum Test
741(1)
A.15 Critical Values for the Wilcoxon Signed-Rank Interval
742(1)
A.16 Critical Values for the Wilcoxon Rank-Sum Interval
743(1)
A.17 β Curves for t Tests
744(1)
Answers to Odd-Numbered Exercises 745(20)
Index 765

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