Paperback. 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 indicesA clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression methodComprehensive 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 methodologyA 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists (Paperback)
Editor: John Wiley & Sons Inc, New York
Fecha de publicaci�n: 2014
Idioma: Ingl�s
ISBN 10: 1118789695
ISBN 13: 9781118789698
Encuadernaci�n: Paperback
Edici�n: 1� Edici�n
Estado: new

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Sinopsis

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.

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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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