Providing information on chemical data analysis, this book aims to make data analysis simple by demystifying the language and whenever possible giving unambiguous ways of doing things. It covers topics such as measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models. Num Pages: 192 pages, Numerous tables, figures and spreadsheets. BIC Classification: PBT; PDE; PN. Category: (UU) Undergraduate. Dimension: 158 x 340 x 19. Weight in Grams: 298. . 2005. 1st Edition. Paperback. . . . .

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Bibliographic Details

Title: Data Analysis for Chemistry: An Introductory Guide for Students and Laboratory Scientists
Publisher: Oxford University Press Inc
Publication Date: 2005
Language: English
ISBN 10: 0195162110
ISBN 13: 9780195162110
Binding: Soft cover
Edition: 1st Edition
Condition: New

About this title

Synopsis

Chemical data analysis, with aspects of metrology in chemistry and chemometrics, is an evolving discipline where new and better ways of doing things are constantly being developed. This book makes data analysis simple by demystifying the language and whenever possible giving unambiguous ways of doing things.

Based on author D. Brynn Hibberts lectures on data analysis to undergraduates and graduate students, Data Analysis for Chemistry covers topics including measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models. The end result is a compromise between recipes of how to perform different aspects of data analysis, and basic information on the background principles behind the recipes to be performed. An entry level book targeted at learning and teaching undergraduate data analysis, Data Analysis for Chemistry makes it easy for readers to find the information they are seeking to perform the data analysis they think they need.

About the Author

D. Brynn Hibbert is at University of New South Wales. J. Justin Gooding is at University of New South Wales.

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