Understanding Statistics

Paperback | January 15, 1997

byGraham Upton, Ian Cook

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An excellent new text which meets the A-level requirements of Statistics as a subject in its own right and as a part of Mathematics. Also a very thorough introduction to the subject for students in higher education who need a grounding in Statistics related to other disciplines. The book iswritten in a friendly style, with lively text, interesting contexts, and potted biographies of significant mathematicians. A huge number of worked examples and exercises, and over 80 projects, give students the confidence to put theory into practice.

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An excellent new text which meets the A-level requirements of Statistics as a subject in its own right and as a part of Mathematics. Also a very thorough introduction to the subject for students in higher education who need a grounding in Statistics related to other disciplines. The book iswritten in a friendly style, with lively tex...

Graham Upton is Reader in Statistics and Head of the Mathematical Department at the University of Essex. Ian Cook is a graduate of Cambridge, London, and Hull, where he was a lecturer in mathematics. He moved to Essex as a Senior Lecturer in 1964, taking early retirement in 1985. He has been a Chief Examiner in Mathematics at A Level f...

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Kobo ebook|Mar 13 2014

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Format:PaperbackPublished:January 15, 1997Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199143919

ISBN - 13:9780199143917

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Table of Contents

1. Summary diagrams and tables2. General summary statistics3. Special summary statistics4. Data sources5. Probability6. Conditional probability7. Probability distributions and expectations8. Expectation algebra9. The bionomial distribution10. The Poisson distribution11. Continuous random variables12. The normal distribution13. Sampling and simulation14. Point and interval and estimation15. Hypothesis tests16. Hypothesis tests: error and problems17. Two samples and paired samples18. Goodness of fit19. Handling variances20. Regression and correlation21. Experimental design and the analysis of variance (ANOVA)22. Nonparametric tests

Editorial Reviews

`This is a most enjoyable text to read. The authors have not seen any need to equate mathematical rigour with dullness.'Teaching Statistics