Probability and Statistics for Engineering and the Sciences

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ISBN: 9780534372811 | 0534372813
Cover: Hardcover
Copyright: 12/9/1999

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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.

Overview and Descriptive Statistics

(51)

Introduction

(2)

Populations, Samples, and Processes

(8)

Pictorial and Tabular Methods in Descriptive Statistics

(17)

Measures of Location

(8)

Measures of Variability

(16)

Supplementary Exercises

(3)

Bibliography

(1)

Probability

(44)

Introduction

(1)

Sample Spaces and Events

(5)

Axioms, Interpretations, and Properties of Probability

(9)

Counting Techniques

(8)

Conditional Probability

(11)

Independence

(10)

Supplementary Exercises

(3)

Bibliography

(1)

Discrete Random Variables and Probability Distributions

(47)

Introduction

(1)

Random Variables

(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)

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Probability and Statistics for Engineering and the Sciences

Summary

Table of Contents

Supplemental Materials