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100   $a20121128d1997      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aStatistical analysis methods for chemists$b[electronic resource] $ea software-based approach /$fWilliam P. Gardiner
210   $aCambridge $cRoyal Society of Chemistry, Information Services$d1997
215   $a1 online resource (390 p.)
300   $aDescription based upon print version of record.
311   $a0-85404-549-X 
320   $aIncludes bibliographical references and index.
327   $aBK9780854045495-FX001; BK9780854045495-FP001; BK9780854045495-FP005; BK9780854045495-FP007; BK9780854045495-FP013; BK9780854045495-FP014; BK9780854045495-00001; BK9780854045495-00019; BK9780854045495-00080; BK9780854045495-00132; BK9780854045495-00168; BK9780854045495-00227; BK9780854045495-00263; BK9780854045495-00293; BK9780854045495-00329; BK9780854045495-00344; BK9780854045495-00352; BK9780854045495-00362
330   $aMany forms of chemical experimentation generate data needing analysis and interpretation in respect of the goals of the experiment and also the chemical factors which may influence the outcome. Statistical data analysis techniques provide the tools which enable a chemist to assess the information obtained from experiments. Statistical Analysis Methods for Chemists: A Software-based Approach aims to give a broad introduction to practical data analysis, and provides comprehensive coverage of basic statistical principles and reasoning. With practical examples, and integration of software output a
606   $aMathematical statistics$xData processing
615  0$aMathematical statistics$xData processing.
676   $a543.0072
676   $a574.19/2/072
676   $a574.192072
700   $aGardiner$b William P$08015
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910819095903321
996   $aStatistical analysis methods for chemists$93971656
997   $aUNINA