A Basic Course in Statistics
Hodder Arnold (Publisher)
4th Edition
Published on 2. October 1998
Book
Paperback/Softback
704 pages
978-0-340-71995-4 (ISBN)
Article exhausted; check for reprint
Description
The importance of statistics stem from its usefulness. It is concerned with collecting and analyzing data in order to obtain a better understanding of phenomena. This edition covers all parts of the syllabus for the A-level exam and introduces university students studying statistics in the first year. Extra topics covered in the text are acceptance sampling, multiple regression, and a chapter devoted to looking at data. It also includes more exercises and references to computer-based methods.
More details
Edition
4th Revised edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Edition type
Revised edition
Illustrations
80 b&w illustrations
Dimensions
Height: 239 mm
Width: 172 mm
Thickness: 38 mm
Weight
1155 gr
ISBN-13
978-0-340-71995-4 (9780340719954)
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Schweitzer Classification
Other editions
New editions
G. L. Clarke | Dennis Cooke
A Basic Course in Statistics
Book
10/2004
5th Edition
Hodder Arnold
€57.13
Article exhausted; check for reprint
Previous edition
G. M. Clarke | D. Cooke
A Basic Course in Statistics
Book
04/1992
3rd Edition
Hodder Arnold
€41.03
Article exhausted; check for reprint
Content
Populations and variates; measures of the centre of a set of observations; samples and populations; the measurement of variability; looking at data; probability; probabilities of compound events; discrete random variable; expectation of a random variable; joint distributions; estimation; collecting data; significance testing; continuous random variables; the normal distribution; sampling distributions of means and related quantities; significance tests using the normal distribution; estimation of intervals and parameters; hypothesis tests using the chi-squared distribution; poisson distribution; correlation; the analysis of variance; simple linear regression; multiple regression.