Data analysis lies at the heart of every experimental science.
Providing a modern introduction to statistics, this book is ideal
for undergraduates in physics. It introduces the necessary tools
required to analyse data from experiments across a range of areas,
making it a valuable resource for students. In addition to covering
the basic topics, the book also takes in advanced and modern
subjects, such as neural networks, decision trees, fitting
techniques and issues concerning limit or interval setting. Worked
examples and case studies illustrate the techniques presented, and
end-of-chapter exercises help test the reader's understanding of
the material.
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