Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding.
Author(s): Simon Vaughan
Edition: 1
Publisher: Cambridge University Press
Year: 2013
Language: English
Commentary: TruePDF
Pages: 239
Tags: Statistics: Scientific Inference
Cover
Half title
Title
Copyright
Dedication
Contents
For the student
For the instructor
1 - Science and statistical data analysis
2 - Statistical summaries of data
3 - Simple statistical inferences
4 - Probability theory
5 - Random variables
6 - Estimation and maximum likelihood
7 - Significance tests and confidence intervals
8 - Monte Carlo methods
Appendix A - Getting started with statistical computation
Appendix B - Data case studies
Appendix C - Combinations and permutations
Appendix D - More on confidence intervals
Appendix E - Glossary
Appendix F - Notation
References
Index
