Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists

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A solutions manual to accompany Statistics andProbability with Applications for Engineersand Scientists

Unique among books of this kind, Statistics and Probabilitywith Applications for Engineers and Scientists coversdescriptive statistics first, then goes on to discuss thefundamentals of probability theory. Along with case studies,examples, and real-world data sets, the book incorporates clearinstructions on how to use the statistical packages Minitab®and Microsoft® Office Excel® to analyze various datasets. The book also features:
  • Detailed discussions on sampling distributions, statisticalestimation of population parameters, hypothesis testing,reliability theory, statistical quality control including Phase Iand Phase II control charts, and process capability indices
  • A clear presentation of nonparametric methods and simple andmultiple linear regression methods, as well as a brief discussionon logistic regression method
  • Comprehensive guidance on the design of experiments, includingrandomized block designs, one- and two-way layout designs, Latinsquare designs, random effects and mixed effects models, factorialand fractional factorial designs, and response surfacemethodology
  • A companion website containing data sets for Minitab andMicrosoft Office Excel, as well as JMP ® routines andresults

Assuming no background in probability andstatistics, Statistics and Probability with Applicationsfor Engineers and Scientists features a unique, yettried-and-true, approach that is ideal for all undergraduatestudents as well as statistical practitioners who analyze andillustrate real-world data in engineering and the naturalsciences.

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About the author

Bhisham C. Gupta, PhD, is Professor and Chair in the Department of Mathematics and Statistics at the University of Southern Maine. Dr. Gupta has writen four books and over thirty peer-reviewed publications. His research interests include design of experiments, statistical quality control, and sampling theory.

Irwin Guttman, PhD, is retired Professor of Statistics in the Department of Mathematics at the State University of New York at Buffalo. A Fellow of the American Statistical Association, the Institute of Mathematical Statistics, the International Statistical Institute, and the Royal Statistical Society, he received his PhD in Statistics from the University of Toronto.

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Additional Information

Publisher
John Wiley & Sons
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Published on
Oct 11, 2013
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Pages
376
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ISBN
9781118789766
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Language
English
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Genres
Mathematics / Probability & Statistics / General
Mathematics / Probability & Statistics / Stochastic Processes
Science / Applied Sciences
Technology & Engineering / Industrial Engineering
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Content Protection
This content is DRM protected.
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Available on Android devices
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The quality inspector is the person perhaps most closely involved with day-to-day activities intended to ensure that products and services meet customer expectations. The quality inspector is required to understand and apply a variety of tools and techniques as codified in the American Society for Quality (ASQ) Certified Quality Inspector (CQI) Body of Knowledge (BoK). The tools and techniques identified in the ASQ CQI BoK include technical math, metrology, inspection and test techniques, and quality assurance. Quality inspectors frequently work with the quality function of organizations in the various measurement and inspection laboratories, as well as on the shop floor supporting and interacting with quality engineers and production/service delivery personnel.

This handbook supports individuals preparing to perform, or those already performing, this type of work. It is intended to serve as a ready reference for quality inspectors and quality inspectors in training, as well as a comprehensive reference for those individuals preparing to take the ASQ CQI examination. Examples and problems used throughout the handbook are thoroughly explained, are algebra-based, and are drawn from real-world situations encountered in the quality profession.

To assist readers in using this book as a ready reference or as a study aid, the book has been organized so as to conform explicitly to the ASQ CQI BoK. Each chapter title, all major topical divisions within the chapters, and every main point has been titled and then numbered exactly as they appear in the CQI BoK.

Introducing the tools of statistics and probabilityfrom the ground up

An understanding of statistical tools is essential for engineersand scientists who often need to deal with data analysis over thecourse of their work. Statistics and Probability withApplications for Engineers and Scientists walks readers througha wide range of popular statistical techniques, explainingstep-by-step how to generate, analyze, and interpret data fordiverse applications in engineering and the natural sciences.

Unique among books of this kind, Statistics and Probabilitywith Applications for Engineers and Scientists coversdescriptive statistics first, then goes on to discuss thefundamentals of probability theory. Along with case studies,examples, and real-world data sets, the book incorporates clearinstructions on how to use the statistical packages Minitab®and Microsoft® Office Excel® to analyze various datasets. The book also features:

• Detailed discussions on sampling distributions,statistical estimation of population parameters, hypothesistesting, reliability theory, statistical quality control includingPhase I and Phase II control charts, and process capabilityindices

• A clear presentation of nonparametric methods andsimple and multiple linear regression methods, as well as a briefdiscussion on logistic regression method

• Comprehensive guidance on the design of experiments,including randomized block designs, one- and two-way layoutdesigns, Latin square designs, random effects and mixed effectsmodels, factorial and fractional factorial designs, and responsesurface methodology

• A companion website containing data sets for Minitaband Microsoft Office Excel, as well as JMP ® routines andresults

Assuming no background in probability and statistics,Statistics and Probability with Applications for Engineers andScientists features a unique, yet tried-and-true, approach thatis ideal for all undergraduate students as well as statisticalpractitioners who analyze and illustrate real-world data inengineering and the natural sciences.

The quality inspector is the person perhaps most closely involved with day-to-day activities intended to ensure that products and services meet customer expectations. The quality inspector is required to understand and apply a variety of tools and techniques as codified in the American Society for Quality (ASQ) Certified Quality Inspector (CQI) Body of Knowledge (BoK). The tools and techniques identified in the ASQ CQI BoK include technical math, metrology, inspection and test techniques, and quality assurance. Quality inspectors frequently work with the quality function of organizations in the various measurement and inspection laboratories, as well as on the shop floor supporting and interacting with quality engineers and production/service delivery personnel.

This handbook supports individuals preparing to perform, or those already performing, this type of work. It is intended to serve as a ready reference for quality inspectors and quality inspectors in training, as well as a comprehensive reference for those individuals preparing to take the ASQ CQI examination. Examples and problems used throughout the handbook are thoroughly explained, are algebra-based, and are drawn from real-world situations encountered in the quality profession.

To assist readers in using this book as a ready reference or as a study aid, the book has been organized so as to conform explicitly to the ASQ CQI BoK. Each chapter title, all major topical divisions within the chapters, and every main point has been titled and then numbered exactly as they appear in the CQI BoK.

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