Probability and Statistics for Engineering and Science

ISBN-10: 0534399339
ISBN-13: 9780534399337
Edition: 6th 2004
List price: $180.95 Buy it from $1.40
This item qualifies for FREE shipping

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

30 day, 100% satisfaction guarantee

If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.

Learn more about our returns policy

Description: 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.  More...

Used Starting from $1.40
New Starting from $164.43
what's this?
Rush Rewards U
Members Receive:
coins
coins
You have reached 400 XP and carrot coins. That is the daily max!
You could win $10,000

Get an entry for every item you buy, rent, or sell.

Study Briefs

Limited time offer: Get the first one free! (?)

All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.

Add to cart
Study Briefs
History of Western Art Online content $4.95 $1.99
Add to cart
Study Briefs
History of World Philosophies Online content $4.95 $1.99
Add to cart
Study Briefs
American History Volume 1 Online content $4.95 $1.99
Add to cart
Study Briefs
History of Western Music Online content $4.95 $1.99

Customers also bought

Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading

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

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.

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 mathematical statistics. He recently coauthored a text in probability and stochastic processes. He is the recipient of a distinguished teaching award from Cal Poly, is a Fellow of the American Statistical Association , and has served several terms as an Associate Editor of the "Journal of the American Statistical Association." In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, who has held several high-level positions in nonprofit organizations in Boston and New York City, and his daughter Teresa, an ESL teacher in New York City.

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

×
Free shipping on orders over $35*

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

Learn more about the TextbookRush Marketplace.

×