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Analytical chemistry / Gary D. Christian
New Jersey : John Wiley & Sons, 2020
xxiv, 928 pages. : illustrations ; 28 cm.
Ký hiệu phân loại (DDC): 543
Analytical Chemistry renowned chemists, Purnendu (Sandy) Dasgupta and Kevin Schug, both of the University of Texas Arlington, join the author team. The new edition focuses on more in-depth coverage of the principles and techniques of quantitative analysis and instrumental analysis (aka Analytical Chemistry). The goal of the text is to provide a foundation of the analytical process, tools, and computational methods and resources, and to illustrate with problems that bring realism to the practice and importance of analytical chemistry. It is designed for undergraduate college students majoring in chemistry and in fields related to chemistry.
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Analytical chemistry / Gary D. Christian; Purnendu K. Dasgupta; Kevin A. Schug
NewYork : John Wiley & Sons, 2013
848 pages ; 28 cm.
Ký hiệu phân loại (DDC): 543
With the 7th Edition of Analytical Chemistry renowned chemists, Purnendu (Sandy) Dasgupta and Kevin Schug, both of the University of Texas Arlington, join the author team. The new edition focuses on more in-depth coverage of the principles and techniques of quantitative analysis and instrumental analysis (aka Analytical Chemistry).The goal of the text is to provide a foundation of the analytical process, tools, and computational methods and resources, and to illustrate with problems that bring realism to the practice and importance of analytical chemistry. It is designed for undergraduate college students majoring in chemistry and in fields related to chemistry.
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Statistical analysis : microsoft Excel 2016 / Conrad George Carlberg
Indianapolis, Indiana, USA : Que, 2018
xiii, 552 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 005.54
Nationally reconized Excel expert Conrad Carlberg shows you how to use Excel 2016 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples and downloadable workbooks, Carlberg helps you choose the right technique for each problem and get the most out of Excel's statistical features. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes.-- Source other than Library of Congress
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