About this book
This book is intended as a guide to the analysis and presentation of experimental results. It develops various techniques for the numerical processing of experimental data, using basic statistical methods and the theory of errors. After presenting basic theoretical concepts, the book describes the methods by which the results can be presented, both numerically and graphically.
The book is divided into three parts, of roughly equal length, addressing the theory, the analysis of data, and the presentation of results. Examples are given and problems are solved using the Excel, Origin, Python and R software packages. In addition, programs in all four languages are made available to readers, allowing them to use them in analyzing and presenting the results of their own experiments. Subjects are treated at a level appropriate for undergraduate students in the natural sciences, but this book should also appeal to anyone whose work involves dealing with experimental results.
binomial distribution Bernoulli distribution Poisson distribution Gaussian distribution error propagation least squares fit central limit theorem dimensional analysis international measurement system standard deviation standard deviation of the mean mean value normal distribution joint probability density written report of an experiment Chauvenet's criterion
- DOI https://doi.org/10.1007/978-3-319-53345-2
- Copyright Information Springer International Publishing AG 2017
- Publisher Name Springer, Cham
- eBook Packages Physics and Astronomy
- Print ISBN 978-3-319-53344-5
- Online ISBN 978-3-319-53345-2
- Series Print ISSN 2192-4791
- Series Online ISSN 2192-4805
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