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by W. J. Decoursey

  • ISBN: 0750676183
  • Category: Math & Science
  • Author: W. J. Decoursey
  • Subcategory: Mathematics
  • Other formats: lrf docx lrf doc
  • Language: English
  • Publisher: Newnes; 1 edition (April 28, 2003)
  • Pages: 396 pages
  • FB2 size: 1481 kb
  • EPUB size: 1898 kb
  • Rating: 4.4
  • Votes: 631
Download Statistics and Probability for Engineering Applications fb2

This introductory textbook on statistics and probability is aimed at two groups: practicing engineers in. .William DeCoursey, P. is a chemical engineer who has taught statistics and probability to engineering students for over 15 years at the University of Saskatchewan.

This introductory textbook on statistics and probability is aimed at two groups: practicing engineers in industries and engineering students at about the freshman/sophomore level. The material is explained in a very easy-to-understand manner with numerous worked-out examples. An important feature of the book is its use of Microsoft Excel to do many statistical computations.

Although the book can be read sequentially, like a normal textbook, it is designed to be used as a handbook . In addition, the book provides an "engineering problem solver" section that directs the reader to the relevant section of the book for the problem they are trying to solve.

Although the book can be read sequentially, like a normal textbook, it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. The accompanying CD-ROM contains the Excel data sets for the examples and case studies given in the book, along with other statistical tools and software. Filled with practical techniques directly applicable on the job.

Some books on probability and statistics use rigorous definitions and many deriva­ tions

Some books on probability and statistics use rigorous definitions and many deriva­ tions. Experience of teaching probability and statistics to engineering students has led the writer of this book to the opinion that a rigorous approach is not the best plan. Therefore, this book approaches probability and statistics without great mathematical rigor. Each new concept is described clearly but briefly in an introductory section. In a number of cases a new concept can be made more understandable by relating it to previous topics.

by William DeCoursey William DeCoursey P. Live as if you were to die tomorrow. Learn as if you were to live forever.

Introduction: Statistics and Probability for Engineers; Basic Probability and Its Engineering Applications .

Introduction: Statistics and Probability for Engineers; Basic Probability and Its Engineering Applications; Descriptive Statistics: Summary Numbers; Grouped Frequencies and Graphical Descriptions; Probability Distributions of Discrete Variables; Probability Distributions of Continuous Variables; The Normal Distribution; Sampling and Combination of Variables; Statistical Inferences for the Mean; Statistical Inferences for Variance and Proportion; Design of Experiments; Analysis of Variance; Chi-squared Test for Frequency Distributions; Regression.

Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. 687 views.

Probability and Statistics for Engineers" provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results.

Written by an experienced industry engineer and statistics professor, this book makes learning statistical .

Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem.

Statistics and Probability for Engineering Applications. William DeCoursey William DeCoursey P. is a chemical engineer who has taught statistics and probability to engineering students for over 15 years at the University of Saskatchewan

Statistics and Probability for Engineering Applications. 4 Mb. Statistics and Probability for Engineering Applications.

Probability for Engineering Applications With Microsoft® Excel by. The book includes many solved problems showing applications in all branches of engineering, and the reader should pay close attention to them in each section.

Statistics and Probability for Engineering Applications With Microsoft® Excel by. The book can be used profitably either for private study or in a class. Some material in earlier chapters is needed when the reader comes to some of the later sections of this book. Chapter 1 is a brief introduction to probability and statistics and their treatment in this work.

Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student.

This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems.

This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists.

* Filled with practical techniques directly applicable on the job* Contains hundreds of solved problems and case studies, using real data sets* Avoids unnecessary theory

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