A Student's Guide to Data and Error Analysis

A concise, practical guide in statistical methods for experimental data handling; ideal for course use and a handy reference for researchers.

All students taking laboratory courses within the physical sciences and engineering will benefit from this book. A concise, readable guide to data handling and error analysis, this book provides practical guidelines, computer programs (in Python), and recipes for the proper handling and presentation of scientific data and their inaccuracies.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.