9781118789827-1118789822-Statistics and Probability with Applications for Engineers and Scientists Set

Statistics and Probability with Applications for Engineers and Scientists Set

ISBN-13: 9781118789827
ISBN-10: 1118789822
Edition: 1
Author: Bhisham C. Gupta, Irwin Guttman
Publication date: 2013
Publisher: Wiley
Format: Hardcover 1272 pages
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Book details

ISBN-13: 9781118789827
ISBN-10: 1118789822
Edition: 1
Author: Bhisham C. Gupta, Irwin Guttman
Publication date: 2013
Publisher: Wiley
Format: Hardcover 1272 pages

Summary

Statistics and Probability with Applications for Engineers and Scientists Set (ISBN-13: 9781118789827 and ISBN-10: 1118789822), written by authors Bhisham C. Gupta, Irwin Guttman, was published by Wiley in 2013. With an overall rating of 4.5 stars, it's a notable title among other Industrial, Manufacturing & Operational Systems (Engineering) books. You can easily purchase or rent Statistics and Probability with Applications for Engineers and Scientists Set (Hardcover) from BooksRun, along with many other new and used Industrial, Manufacturing & Operational Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This set includes Statistics and Probability with Applications for Engineers and Scientists & Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists.


Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences.

This book features comprehensive guidance on the design of experiments, detailed discussions on sampling distributions, and a clear presentation of nonparametric methods and simple and multiple linear regression methods. Readers will also find clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets.

This introductory text presents 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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