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010   $a3-031-65449-8
024 7 $a10.1007/978-3-031-65449-7
035   $a(MiAaPQ)EBC31626741
035   $a(Au-PeEL)EBL31626741
035   $a(CKB)34512779100041
035   $a(DE-He213)978-3-031-65449-7
035   $a(EXLCZ)9934512779100041
100   $a20240830d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aUsing Excel to Solve Statistical Problems: A Practical Guide to the Book ?Statistics for Chemical and Process Engineers? /$fby Yuri A.W. Shardt
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (84 pages)
311 08$a3-031-65448-X 
327   $aIntroduction to Excel -- Data Visualisation -- Theoretical Statistics Distributions Hypothesis Testing and Confidence Intervals -- Regression Analysis and Design of Experiments.
330   $aThis book provides a complete overview of how to use Excel to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed Excel examples for solving specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired.
606   $aProduction engineering
606   $aEngineering mathematics
606   $aEngineering$xData processing
606   $aStatistics
606   $aProcess Engineering
606   $aMathematical and Computational Engineering Applications
606   $aStatistics
615  0$aProduction engineering.
615  0$aEngineering mathematics.
615  0$aEngineering$xData processing.
615  0$aStatistics.
615 14$aProcess Engineering.
615 24$aMathematical and Computational Engineering Applications.
615 24$aStatistics.
676   $a660
700   $aShardt$b Yuri A. W$01077122
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910886071503321
996   $aUsing Excel to Solve Statistical Problems: A Practical Guide to the Book ?Statistics for Chemical and Process Engineers?$94236874
997   $aUNINA