A Student's Guide to Data and Error Analysis

A Student's Guide to Data and Error Analysis

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All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.There is nothing wrong with making a quick sketch on old-fashioned graph paper ! Computer programs are useful when there are many data points, when different points have different weights or when high ... (i) y = aeaˆ’kx: lny = lna aˆ’ kx ( examples: concentration as function of time for a first-order reaction, number of counts per minute for a radioactive decay process). ... for better accuracy) and read the coordinates of the end points (x1, y1) and (x2, y2); the slope equals ln(y2/ y1)/(x2 aˆ’ x1).

Title:A Student's Guide to Data and Error Analysis
Author: Herman J. C. Berendsen
Publisher:Cambridge University Press - 2011-04-07

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