Language : English
Published : 2015-01-08
Pages : 752
Laboratory Experiments for Chemistry
Prepared by John H. Nelson and Kenneth C. Kemp, both of the University of Nevada. This manual contains 43 finely tuned experiments chosen to introduce students to basic lab techniques and to illustrate core chemical principles. You can also customize these labs through Catalyst, our custom database program. For more information, visit http: //www.pearsoncustom.com/custom-library/catalyst In the Thirteenth Edition, all experiments were carefully edited for accuracy and safety. Pre-labs and questions were revised and several experiments were added or changed. Two of the new experiments have been added to Chapter 11.
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Measurement is an essential activity in every branch of technology and science and as such forms part of degree, diploma and certificate courses in engineering and applied science.The fourth edition of this respected and successful text has been extensively extended and updated to include new developments in measurement devices and technology. It provides a coherent and integrated approach to the topic, covering main techniques and devices used, together with relevant theory and applications, for both mechanical and electronic systems.~It is divided into three parts, covering the general principles, followed by the typical elements of measurement systems, and then moving on to current and emerging specialised techniques which have important industrial applications. ~Key features:*New chapter on Intelligent Multivariable Measurement Systems *Incorporates increased coverage on solid state sensors*New material on structure, software and applications of microcontrollers*A completely revised chapter on Data Presentation*Additional problems have been added at a basic and introductory level*Solutions manual~This book is aimed at students taking modules in measurement and instrumentation as part of degree courses in instrumentation/control, mechanical, manufacturing, electrical, electronic, chemical engineering and applied physics as well as students on HNC/HND and foundation degree courses on measurement and instrumentation. This text is also suitable for professional and technical engineers working in the measurement and control discipline.~John P. Bentley is Emeritus Professor of Measurement Systems at the University of Teesside
Thoroughly updated for currency and with exciting new practical examples throughout, this popular text provides the tools, practice, and basic knowledge for success in the biotech workforce. With its balanced coverage of basic cell and molecular biology, fundamental techniques, historical accounts, new advances, and hands-on applications, the Third Edition emphasizes the future of biotechnology and the biotechnology student’s role in that future. Two new features-Forecasting the Future, and Making a Difference-along with several returning hallmark features, support the new focus.
An original account of willful ignorance and how this principle relates to modern probability and statistical methods
Through a series of colorful stories about great thinkers and the problems they chose to solve, the author traces the historical evolution of probability and explains how statistical methods have helped to propel scientific research. However, the past success of statistics has depended on vast, deliberate simplifications amounting to willful ignorance, and this very success now threatens future advances in medicine, the social sciences, and other fields. Limitations of existing methods result in frequent reversals of scientific findings and recommendations, to the consternation of both scientists and the lay public.
Willful Ignorance: The Mismeasure of Uncertainty exposes the fallacy of regarding probability as the full measure of our uncertainty. The book explains how statistical methodology, though enormously productive and influential over the past century, is approaching a crisis. The deep and troubling divide between qualitative and quantitative modes of research, and between research and practice, are reflections of this underlying problem. The author outlines a path toward the re-engineering of data analysis to help close these gaps and accelerate scientific discovery.
Willful Ignorance: The Mismeasure of Uncertainty presents essential information and novel ideas that should be of interest to anyone concerned about the future of scientific research. The book is especially pertinent for professionals in statistics and related fields, including practicing and research clinicians, biomedical and social science researchers, business leaders, and policy-makers.