Statistics and Probability with Applications for Engineers and Scientists

ISBN-10: 1118464044
ISBN-13: 9781118464045
Edition: 2013
List price: $206.95 Buy it from $95.99
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Description: This introductory text covers applied statistics and probability for undergraduate students in engineering and the natural sciences.  The book begins at a level that is suitable for those with no previous exposure to probability and statistics and  More...

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Book details

List price: $206.95
Copyright year: 2013
Publisher: John Wiley & Sons, Incorporated
Publication date: 4/26/2013
Binding: Hardcover
Pages: 896
Size: 8.25" wide x 10.25" long x 1.75" tall
Weight: 4.818
Language: English

This introductory text covers applied statistics and probability for undergraduate students in engineering and the natural sciences.  The book begins at a level that is suitable for those with no previous exposure to probability and statistics and carries readers through to a level of proficiency in various techniques of statistics.  Both descriptive and inferential statistics are emphasized, and the authors uniquely discuss descriptive statistics first and then continue with an elementary discussion of the fundamentals of probability theory underlying many of the presented statistical techniques.  A wide range of statistical techniques are addressed, including statistical estimation, regression methods, statistical quality control (with emphasis on phase I and phase II control charts), process capability indices, non-parametric methods, and elements of reliability theory.  Design of experiments is also addressed and includes discussion on randomized block designs, one- and two-way designs, latin square designs, response surface designs, and 2k factorial designs.  All statistical concepts are supported by a large number of examples using data encountered in real-world situations.  In addition, the authors illustrate how the statistical packages Minitab (R) and Microsoft Office Excel(R) can be used to aid in the analysis of various data sets. 

Introduction
Describing Data Graphically and Numerically
Elements of Probability
Discrete Random Variables and Some Important Discrete Probability Distributions
Continuous Random Variables and Some Important Continuous Probability Distributions
Distribution Functions of Random Variables
Sampling Distributions
Estimation of Population Parameters
Hypothesis Testing
Elements of Reliability Theory
Statistical Quality Control - Phase I Control Charts
Statistical Quality Control - Phase II Control Charts
Analysis of Categorical Data
Nonparametric Tests
Simple Linear Regression Analysis
Multiple Linear Regression Analysis
Analysis of Variance
The 2<sup>k</sup> Factorial Designs
Response Surfaces
Appendices
Statistical Tables and Charts
Answers to Selected Problems
Bibliography
Index

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