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 ExcelAr 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.Many tools exist to assist in the analysis of data, ranging from the pocket calculator to specialist computer based ... as Systat or Origin.1 As well as standard functions, such as those used to determine means and standard deviations, ... Its clear layout, extensive help facilities, range of in-built statistical functions and availability for both PCs and Mac computers make Excel a popular choice for data analysis.
|Title||:||Data Analysis for Physical Scientists|
|Publisher||:||Cambridge University Press - 2012-02-16|