02661nam 2200541 a 450 991081909590332120200520144314.01-84755-192-0(CKB)1000000000791463(EBL)1186142(SSID)ssj0000379672(PQKBManifestationID)11267924(PQKBTitleCode)TC0000379672(PQKBWorkID)10365722(PQKB)11708012(MiAaPQ)EBC1186142(Au-PeEL)EBL1186142(CaPaEBR)ebr10621277(OCoLC)843642294(PPN)198470134(EXLCZ)99100000000079146320121128d1997 uy 0engur|n|---|||||txtccrStatistical analysis methods for chemists[electronic resource] a software-based approach /William P. GardinerCambridge Royal Society of Chemistry, Information Services19971 online resource (390 p.)Description based upon print version of record.0-85404-549-X Includes bibliographical references and index.BK9780854045495-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; BK9780854045495-00362Many 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 aMathematical statisticsData processingMathematical statisticsData processing.543.0072574.19/2/072574.192072Gardiner William P8015MiAaPQMiAaPQMiAaPQBOOK9910819095903321Statistical analysis methods for chemists3971656UNINA