Data Analysis for Chemistry: An Introductory Guide for Students and Laboratory Scientists

Paperback | October 6, 2005

byD. Brynn Hibbert, J. Justin Gooding

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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 waysof 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 compromisebetween 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 tofind the information they are seeking to perform the data analysis they think they need.

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From the Publisher

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 waysof doing things. Based on author D. Brynn Hi...

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

other books by D. Brynn Hibbert

Format:PaperbackDimensions:192 pages, 5.98 × 9.09 × 0.51 inPublished:October 6, 2005Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195162110

ISBN - 13:9780195162110

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