Author: David M. Levine
Edition: Edition Unstated
Binding: Paperback
ISBN: 0134888014
Publisher: Pearson
Edition: Edition Unstated
Binding: Paperback
ISBN: 0134888014
Publisher: Pearson
Applied Statistics For Engineers And Scientists: Using Microsoft Excel & Min
This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. Applied Statistics for Engineers and Scientists
TheNile.com.au About FAQ Payment Delivery Contact Us 1800-987-323 Applied Statistics for Engineers and Scientists [With CDROM] (English) by Jay L. DeVore , Nicholas R. Farnum Format Hardcover Condition Brand New Language English This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS emphasizes application of methods to real problems, with real examples throughout. Publisher Description
It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software complete this treatment of statistics. Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regressio Download free Applied Statistics for Engineers and Scientists: Using Microsoft Excel & Minitab from rapidshare, mediafire, 4shared
It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated Search and find a lot of computer books in many category availabe for free download
Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regressio
