Probability and Statistics for Engineers and Scientists (3 HAR/CDR)

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Probability and Statistics for Engineers and Scientists (3 HAR/CDR)

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  • 製本 Hardcover:ハードカバー版/ページ数 812 p.
  • 言語 ENG,ENG
  • 商品コード 9780495107576
  • DDC分類 519.02462

Full Description

The new edition of Anthony Hayter's book continues in the same student-oriented vein that has made previous editions successful. Because Tony Hayter teaches and conducts research at a premier engineering school, he is in touch with engineers daily and understands their vocabulary. This leads to a clear and more readable writing style that students understand and appreciate. Additionally, because of his intimacy with the professional community, Hayter includes many high-interest examples and datasets that keep students' attention throughout the term. PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS employs a flexible approach with regard to the use of computer tools. Because the book is not tied to a particular software package, instructors may choose the program that best suits their needs. However, the book does provide substantial computer output (using MINITAB and other programs) to give students the necessary practice in interpreting output. "Computer Note" sections offer tips for using various software packages to perform analysis of the datasets, which can be downloaded from the website. Through the use of extensive examples and datasets, the book illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, management, and mathematics.

Table of Contents

Preface                                            x
Continuing Case Study: Microelectronic Solder xv
Probability Theory 1 (69)
Probabilities 1 (7)
Events 8 (7)
Combinations of Events 15 (18)
Conditional Probability 33 (7)
Probabilities of Event Intersections 40 (10)
Posterior Probabilities 50 (6)
Counting Techniques 56 (8)
Case Study: Microelectronic Solder Joints 64 (2)
Supplementary Problems 66 (4)
Random Variables 70 (75)
Discrete Random Variables 70 (10)
Continuous Random Variables 80 (12)
The Expectation of a Random Variable 92 (9)
The Variance of a Random Variable 101(12)
Jointly Distributed Random Variables 113(15)
Combinations and Functions of Random 128(13)
Case Study: Microelectronic Solder Joints 141(1)
Supplementary Problems 142(3)
Discrete Probability Distributions 145(39)
The Binomial Distribution 145(13)
The Geometric and Negative Binomial 158(8)
The Hypergeometric Distribution 166(5)
The Poisson Distribution 171(6)
The Multinomial Distribution 177(4)
Case Study: Microelectronic Solder Joints 181(1)
Supplementary Problems 182(2)
Continuous Probability Distributions 184(30)
The Uniform Distribution 184(4)
The Exponential Distribution 188(9)
The Gamma Distribution 197(5)
The Weibull Distribution 202(5)
The Beta Distribution 207(4)
Case Study: Microelectronic Solder Joints 211(1)
Supplementary Problems 212(2)
The Normal Distribution 214(51)
Probability Calculations Using the Normal 214(13)
Linear Combinations of Normal Random 227(11)
Approximating Distributions with the 238(11)
Normal Distribution
Distributions Related to the Normal 249(11)
Case Study: Microelectronic Solder Joints 260(1)
Supplementary Problems 261(4)
Descriptive Statistics 265(27)
Experimentation 265(5)
Data Presentation 270(8)
Sample Statistics 278(8)
Examples 286(4)
Case Study: Microelectronic Solder Joints 290(1)
Supplementary Problems 290(2)
Statistical Estimation and Sampling 292(34)
Point Estimates 292(5)
Properties of Point Estimates 297(10)
Sampling Distributions 307(9)
Constructing Parameter Estimates 316(6)
Case Study: Microelectronic Solder Joints 322(1)
Supplementary Problems 323(3)
Inferences on a Population Mean 326(55)
Confidence Intervals 326(15)
Hypothesis Testing 341(33)
Summary 374(1)
Case Study: Microelectronic Solder Joints 375(2)
Supplementary Problems 377(4)
Comparing Two Population Means 381(41)
Introduction 381(8)
Analysis of Paired Samples 389(5)
Analysis of Independent Samples 394(20)
Summary 414(2)
Case Study: Microelectronic Solder Joints 416(2)
Supplementary Problems 418(4)
Discrete Data Analysis 422(64)
Inferences on a Population Proportion 422(23)
Comparing Two Population Proportions 445(11)
Goodness of Fit Tests for One-Way 456(15)
Contingency Tables
Testing for Independence in Two-Way 471(10)
Contingency Tables
Case Study: Microelectronic Solder Joints 481(1)
Supplementary Problems 482(4)
The Analysis of Variance 486(47)
One-Factor Analysis of Variance 486(25)
Randomized Block Designs 511(18)
Case Study: Microelectronic Solder Joints 529(2)
Supplementary Problems 531(2)
Simple Linear Regression and Correlation 533(62)
The Simple Linear Regression Model 533(8)
Fitting the Regression Line 541(10)
Inferences on the Slope Parameter β1 551(8)
Inferences on the Regression Line 559(6)
Prediction Intervals for Future Response 565(4)
The Analysis of Variance Table 569(6)
Residual Analysis 575(5)
Variable Transformations 580(4)
Correlation Analysis 584(6)
Case Study: Microelectronic Solder Joints 590(1)
Supplementary Problems 591(4)
Multiple Linear Regression and Nonlinear 595(41)
Introduction to Multiple Linear Regression 595(10)
Examples of Multiple Linear Regression 605(10)
Matrix Algebra Formulation of Multiple 615(9)
Linear Regression
Evaluating Model Adequacy 624(6)
Nonlinear Regression 630(4)
Supplementary Problems 634(2)
Multifactor Experimental Design and Analysis 636(44)
Experiments with Two Factors 636(29)
Experiments with Three or More Factors 665(13)
Supplementary Problems 678(2)
Nonparametric Statistical Analysis 680(42)
The Analysis of a Single Population 681(21)
Comparing Two Populations 702(10)
Comparing Three or More Populations 712(7)
Supplementary Problems 719(3)
Quality Control Methods 722(29)
Introduction 722(1)
Statistical Process Control 722(6)
Variable Control Charts 728(10)
Attribute Control Charts 738(6)
Acceptance Sampling 744(5)
Supplementary Problems 749(2)
Reliability Analysis and Life Testing 751(21)
System Reliability 751(6)
Modeling Failure Rates 757(5)
Life Testing 762(8)
Supplementary Problems 770(2)
Tables 772(9)
Answers to Odd-Numbered Problems 781(22)
Index 803