Analysis and Presentation of Experimental Results

Beschreibung

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.
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.
Provides many figures, examples, and problems with solutions that guide the student step by step Offers a written laboratory report of an experiment as an example Contains a chapter entirely dedicated to graphs: how to prepare them and how to extract information from them Includes an appendix on dimensional analysis Presents an extensive account of the statistics of radioactivity Uses programs in Excel®, Origin®, Python and R Includes supplementary material: sn.pub/extras

Autor*in

Costas Christodoulides

Themen in »Analysis and Presentation of 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

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