Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists
Language: English
Published by Wiley Jan 2013, 2013
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
Neuware - A solutions manual to accompanyStatistics and Probability with Applications for Engineers andScientists Unique among books of this kind,Statistics and Probability with Applications for Engineers andScientistscovers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: - Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices - A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method - Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology - A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics,Statistics and Probability with Applications for Engineers and Scientistsfeatures a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.…
Seller Inventory # 9781118789698
- Title
- Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists
- Author
- Irwin Guttman
- Publisher
- Wiley Jan 2013
- Publication year
- 2013
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1118789695
- ISBN 13
- 9781118789698
- Item weight
- 775 grams
- Dimensions
- 279x215x30 mm
A solutions manual to accompany Statistics and Probability with Applications for Engineers and Scientists
Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features:
- Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices
- A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method
- Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology
- A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results
Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
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