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(R) and Microsoft(R) Office Excel(R) to analyze various data sets. The book also features:
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. 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. Num Pages: 376 pages, figures. BIC Classification: PBT; PDE; TBJ. Category: (P) Professional & Vocational. Dimension: 278 x 216 x 25. Weight in Grams: 774. . 2013. 1st Edition. Paperback. . . . . N° de réf. du vendeur V9781118789698
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