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

 
9780195162110: Data Analysis for Chemistry: An Introductory Guide for Students and Laboratory Scientists

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.

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Book Description

CHOICE Outstanding Academic Title 2006

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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  • PublisherOxford University Press, U.S.A.
  • Publication date2005
  • ISBN 10 0195162110
  • ISBN 13 9780195162110
  • BindingPaperback
  • LanguageEnglish
  • Number of pages192

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Paperback. Condition: new. Paperback. 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 coverstopics 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 performdifferent 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780195162110

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