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100   $a20050103d2005      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aData analysis for chemistry$b[electronic resource] $ean introductory guide for students and laboratory scientists /$fD. Brynn Hibbert and J. Justin Gooding
210   $aNew York ;$aOxford $cOxford University Press$d2005
215   $a1 online resource (192 p.)
225 1 $aOxford scholarship online
300   $aPreviously issued in print: 2006.
311   $a0-19-516211-0 
311   $a0-19-516210-2 
320   $aIncludes bibliographical references and index.
327   $aContents; Readers' Guide: Definitions, Questions, and Useful Functions: Where to Find Things and What to Do; 1. Introduction; 2. Describing Data: Means and Confidence Intervals; 3. Hypothesis Testing; 4. Analysis of Variance; 5. Calibration; Appendix; Bibliography; Index
330 8 $aChemical data analysis, with aspects of metrology in chemistry and chemometrics, is an evolving discipline where new and better ways of doing things are constantly being developed. This book makes data analysis simple by demystifying the language and giving unambiguous ways of doing things.
410  0$aOxford scholarship online.
606   $aChemistry$xStatistical methods
606   $aAnalysis of variance
608   $aElectronic books.
615  0$aChemistry$xStatistical methods.
615  0$aAnalysis of variance.
676   $a540/.72
700   $aHibbert$b D. B$g(D. Brynn),$f1951-$0863041
701   $aGooding$b J. Justin$0863042
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910450288403321
996   $aData analysis for chemistry$91926535
997   $aUNINA