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008			081215s2006 enka |b 001 0 eng
020			_a0195162102 (acidfree paper)
020			_a0195162110 (pbk. : acid-free paper)
039		9	_a201402040111 _bVLOAD _c201009191014 _dmalmash _c200812200948 _dvenkatrajand _c200812151009 _dNoora _y200812151005 _zNoora
050	0	0	_aQD39.3.S7 _bH53 2005
100	1		_aHibbert, D. B. _q(D. Brynn), _d1951- _918083
245	1	0	_aData Analysis for Chemistry : _bAn Introductory Guide for Students and Laboratory Scientists / _cD. Brynn Hibbert, J. Justin Gooding.
260			_aOxford ; _aNew York : _bOxford University Press, _c2006.
300			_axii, 177 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references (p. 169-172) and index.
520			_aChemical 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.
650		0	_aChemistry _xStatistical methods. _938077
650		0	_aAnalysis of variance. _931399
942			_2lcc _n0 _cBK
999			_c16956 _d16956