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Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis of data can be a stumbling block for even the most experienced researcher - and can be a particularly daunting prospect when analyzing your own data for the first time.
Drawing on the author's extensive experience of supporting project students, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis...

There is an increasing need for analysts to understand and be able to quantify the performance of analytical instruments, in particular with respect to the following:
* specifying equipment for purchase
* estimating uncertainties in instrumental measurements
* quantifying and demonstrating performance quality
This text links together an understanding of performance characteristics with an appreciation of the limitations imposed by instrument design, leading to the interplay of the validation and qualification processes within quality assurance systems.
A unique...

This book is a completely revised and updated version of this invaluable text which allows science students to extend necessary skills and techniques, with the topics being developed through examples in science which are easily understood by students from a range of disciplines. The introductory approach eases students into the subject, progressing to cover topics relevant to first and second year study and support data analysis for final year projects.

The revision of the material in the book has been matched, on the accompanying website, with the extensive use of video, providing worked...