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Data analysis for physical scientists: featuring Excel

The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textb...

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Autor principal: Kirkup, Les
Lenguaje:eng
Publicado: Cambridge Univ. Press 2012
Materias:
Acceso en línea:http://cds.cern.ch/record/1644792
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author Kirkup, Les
author_facet Kirkup, Les
author_sort Kirkup, Les
collection CERN
description The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement uncertainty. This new edition has been revised to incorporate Excel® 2010. It also provides a practical approach to fitting models to data using non-linear least squares, a powerful technique which can be applied to many types of model. Worked examples using actual experimental data help students understand how the calculations apply to real situations. Over 200 in-text exercises and end-of-chapter problems give students the opportunity to use the techniques themselves and gain confidence in applying them. Answers to the exercises and problems are given at the end of the book.
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spelling cern-16447922021-04-21T21:21:13Zhttp://cds.cern.ch/record/1644792engKirkup, LesData analysis for physical scientists: featuring ExcelComputing and ComputersThe ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement uncertainty. This new edition has been revised to incorporate Excel® 2010. It also provides a practical approach to fitting models to data using non-linear least squares, a powerful technique which can be applied to many types of model. Worked examples using actual experimental data help students understand how the calculations apply to real situations. Over 200 in-text exercises and end-of-chapter problems give students the opportunity to use the techniques themselves and gain confidence in applying them. Answers to the exercises and problems are given at the end of the book.Cambridge Univ. Pressoai:cds.cern.ch:16447922012
spellingShingle Computing and Computers
Kirkup, Les
Data analysis for physical scientists: featuring Excel
title Data analysis for physical scientists: featuring Excel
title_full Data analysis for physical scientists: featuring Excel
title_fullStr Data analysis for physical scientists: featuring Excel
title_full_unstemmed Data analysis for physical scientists: featuring Excel
title_short Data analysis for physical scientists: featuring Excel
title_sort data analysis for physical scientists: featuring excel
topic Computing and Computers
url http://cds.cern.ch/record/1644792
work_keys_str_mv AT kirkuples dataanalysisforphysicalscientistsfeaturingexcel