Probability and Statistics for Engineering and Science

Name: Probability and Statistics for Engineering and Science
Price: 7.16 USD
Availability: InStock
ISBN: 9780534399337

ISBN-10: 0534399339

ISBN-13: 9780534399337

Edition: 6th 2004

Authors: Jay L. (Jay L. Devore) Devore

List price: $180.95

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This market-leading text provides a comprehensive introduction to probability and statistics 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, students go beyond simply learning about statistics--they actually experience its potential. The book emphasizes concepts, models, methodology and applications, as opposed to rigorous mathematical development and derivations.

Book details

List price: $180.95
Edition: 6th
Copyright year: 2004
Publisher: Brooks/Cole
Publication date: 6/30/2003
Binding: Hardcover
Pages: 764
Size: 7.50" wide x 9.25" long x 1.25" tall
Weight: 3.080
Language: English

Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University. He earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. Jay previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, he served as Chair of the Statistics Department. In addition to this book, Jay has written several widely used engineering statistics texts and a book in applied…




Overview and Descriptive Statistics


Introduction



Populations, Samples, and Processes



Pictorial and Tabular Methods in Descriptive Statistics



Measures of Location



Measures of Variability


Supplementary Exercises


Bibliography



Probability


Introduction



Sample Spaces and Events



Axioms, Interpretations, and Properties of Probability



Counting Techniques



Conditional Probability



Independence


Supplementary Exercises


Bibliography



Discrete Random Variables and Probability Distributions


Introduction



Random Variables



Probability Distributions for Discrete Random Variables



Expected Values of Discrete Random Variables



The Binomial Probability Distribution



Hypergeometric and Negative Binomial Distributions



The Poisson Probability Distribution


Supplementary Exercises


Bibliography



Continuous Random Variables and Probability Distributions


Introduction



Continuous Random Variables and Probability Density Functions



Cumulative Distribution Functions and Expected Values



The Normal Distribution



The Gamma Distribution and Its Relatives



Other Continuous Distributions



Probability Plots


Supplementary Exercises


Bibliography



Joint Probability Distributions and Random Samples


Introduction



Jointly Distributed Random Variables



Expected Values, Covariance, and Correlation



Statistics and Their Distributions



The Distribution of the Sample Mean



The Distribution of a Linear Combination


Supplementary Exercises


Bibliography



Point Estimation


Introduction



Some General Concepts of Point Estimation



Methods of Point Estimation


Supplementary Exercises


Bibliography



Statistical Intervals Based on a Single Sample


Introduction



Basic Properties of Confidence Intervals



Large-Sample Confidence Intervals for a Population Mean and Proportion



Intervals Based on a Normal Population Distribution



Confidence Intervals for the Variance and Standard Deviation of a Normal Population


Supplementary Exercises


Bibliography



Tests of Hypotheses Based on a Single Sample


Introduction



Hypotheses and Test Procedures



Tests About a Population Mean



Tests Concerning a Population Proportion



P-Values



Some Comments on Selecting a Test Procedure


Supplementary Exercises


Bibliography



Inferences Based on Two Samples


Introduction



z Tests and Confidence Intervals for a Difference Between Two Population Means



The Two-Sample t Test and Confidence Interval



Analysis of Paired Data



Inferences Concerning a Difference Between Population Proportions



Inferences Concerning Two Population Variances


Supplementary Exercises


Bibliography



The Analysis of Variance


Introduction



Single-Factor ANOVA



Multiple Comparisons in ANOVA



More on Single-Factor ANOVA


Supplementary Exercises


Bibliography



Multifactor Analysis of Variance


Introduction



Two-Factor ANOVA with K[subscript ij] = 1



Two-Factor ANOVA with K[subscript ij] [greater than sign] 1



Three-Factor ANOVA



2[superscript p] Factorial Experiments


Supplementary Exercises


Bibliography



Simple Linear Regression and Correlation


Introduction



The Simple Linear Regression Model



Estimating Model Parameters



Inferences About the Slope Parameter beta[subscript 1]



Inferences Concerning [mu subscript Y[middle dot]x*] and the Prediction of Future Y Values



Correlation


Supplementary Exercises


Bibliography



Nonlinear and Multiple Regression


Introduction



Aptness of the Model and Model Checking



Regression with Transformed Variables



Polynomial Regression



Multiple Regression Analysis



Other Issues in Multiple Regression


Supplementary Exercises


Bibliography



Goodness-of-Fit Tests and Categorical Data Analysis


Introduction



Goodness-of-Fit Tests When Category Probabilities Are Completely Specified



Goodness-of-Fit Tests for Composite Hypotheses



Two-Way Contingency Tables


Supplementary Exercises


Bibliography



Distribution-Free Procedures


Introduction



The Wilcoxon Signed-Rank Test



The Wilcoxon Rank-Sum Test



Distribution-Free Confidence Intervals



Distribution-Free ANOVA


Supplementary Exercises


Bibliography



Quality Control Methods


Introduction



General Comments on Control Charts



Control Charts for Process Location



Control Charts for Process Variation



Control Charts for Attributes



CUSUM Procedures



Acceptance Sampling


Supplementary Exercises


Bibliography



Tables



Cumulative Binomial Probabilities



Cumulative Poisson Probabilities



Standard Normal Curve Areas



The Incomplete Gamma Function



Critical Values for t Distributions



Tolerance Critical Values for Normal Population Distributions



Critical Values for Chi-Squared Distributions



t Curve Tail Areas



Critical Values for F Distributions



Critical Values for Studentized Range Distributions



Chi-Squared Curve Tail Areas



Critical Values for the Ryan-Joiner Test of Normality



Critical Values for the Wilcoxon Signed-Rank Test



Critical Values for the Wilcoxon Rank-Sum Test



Critical Values for the Wilcoxon Signed-Rank Interval



Critical Values for the Wilcoxon Rank-Sum Interval



[beta] Curves for t Tests


Answers to Odd-Numbered Exercises


Index