Inspired by the author's need for practical guidance in the
processes of data analysis, "A Practical Guide to Scientific Data
Analysis" has been written as a statistical companion for the
working scientist. This handbook of data analysis with worked
examples focuses on the application of mathematical and statistical
techniques and the interpretation of their results.
Covering the most common statistical methods for examining and
exploring relationships in data, the text includes extensive
examples from a variety of scientific disciplines.
The chapters are organised logically, from planning an
experiment, through examining and displaying the data, to
constructing quantitative models. Each chapter is intended to stand
alone so that casual users can refer to the section that is most
appropriate to their problem.
Written by a highly qualified and internationally respected
author this text: Presents statistics for the
non-statisticianExplains a variety of methods to extract
information from dataDescribes the application of statistical
methods to the design of "performance chemicals"Emphasises the
application of statistical techniques and the interpretation of
their results
Of practical use to chemists, biochemists, pharmacists,
biologists and researchers from many other scientific disciplines
in both industry and academia.
General
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