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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 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.
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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