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.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Undergraduate chemistry students.
Illustrationen
4 halftones, 55 line illus.
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-0-19-516210-3 (9780195162103)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Autor*in
Professor of Analytical ChemistryProfessor of Analytical Chemistry, University of New South Wales
Senior Lecturer in ChemistrySenior Lecturer in Chemistry, University of New South Wales
Definitions, Questions, and Useful Functions: Where to Find Things and What To Do
1: Introduction
2: Describing Data
3: Hypothesis Testing
4: Analysis of Variance
5: Calibration
