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Engineering Statistics Demystified

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ISBN-10: 0071462724

ISBN-13: 9780071462723

Edition: 2007

Authors: Larry J. Stephens

List price: $25.00
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Description:

This versatile reference offers solid coverage of the basics of traditional engineering statistics and also incorporates examples from the most popular statistical software programs, making it equally valuable to professionals.
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Book details

List price: $25.00
Copyright year: 2007
Publisher: McGraw-Hill Professional Publishing
Publication date: 12/13/2006
Binding: Paperback
Pages: 448
Size: 7.50" wide x 9.25" long x 1.00" tall
Weight: 1.650
Language: English

Larry Stephens, Ph.D., (Omaha, NE) is Professor of Mathematics at the University of Nebraska and is also the author of several books.

Preface
Acknowledgments
Treatment of Data Using EXCEL, MINITAB, SAS, SPSS, and STATISTIX
Graphical Displays of Data
Descriptive Measures of Data
Measures of Relative Standing
Exercises
Summary
Probability
Sample Space, Events, and Operations on Events
The Multiplicative Rule, Permutations, and Combinations
Probability
The Axioms of Probability
Some Elementary Theorems (Rules) of Probability
Conditional Probability
Bayes' Theorem
Mathematical Expectation
Exercises
Summary
Probability Distributions for Discrete Random Variables
Random Variables
The Mean and Standard Deviation of a Probability Distribution
Chebyshev's Theorem
The Binomial Distribution
The Hypergeometric Distribution
The Geometric Distribution
The Negative Binomial Distribution
The Poisson Distribution
The Multinomial Distribution
Simulation
Exercises
Summary
Probability Densities for Continuous Random Variables and Introduction to MAPLE
Continuous Random Variables
The Normal Distribution
The Normal Approximation to the Binomial Distribution
The Uniform Distribution
The Log-Normal Distribution
The Gamma Distribution
The Beta Distribution
The Weibull Distribution
Joint Distributions-Discrete and Continuous
Checking Data for Normality
Transforming Observations to Near Normality
Simulation
Exercises
Summary
Sampling Distributions
Populations and Samples
The Sampling Distribution of the Mean ([sigma] Known)
The Sampling Distribution of the Mean ([sigma] Unknown)
The Sampling Distribution of the Proportion
The Sampling Distribution of the Variance
Exercises
Summary
Inferences Concerning Means
Point Estimation
Interval Estimation
Basic Concepts of Testing Hypotheses
Testing Hypothesis About a Single Mean
The Relationship between Tests of Hypothesis and Confidence Intervals
Inferences Concerning Two Means-Independent and Large Samples
Inferences Concerning Two Means-Independent and Small Samples
Inferences Concerning Two Means-Dependent Samples
Exercises
Summary
Inferences Concerning Variances
The Estimation of Variances
Hypotheses Concerning One Variance
Hypotheses Concerning Two Variances
Exercises
Summary
Inferences Concerning Proportions
Estimation of Proportions
Hypotheses Concerning One Proportion
Hypotheses Concerning Two Proportions
Hypotheses Concerning Several Proportions
The Analysis of r x c Tables
Exercises
Summary
Final Examinations
Solutions to Chapter Exercises and Final Exams
Bibliography
Index