A Basic Course in Statistics
Hodder Arnold (Publisher)
5th Edition
Published on 29. October 2004
Book
Paperback/Softback
512 pages
978-0-340-81406-2 (ISBN)
Article exhausted; check for reprint
Description
The importance of statistics stems from its usefulness. Statistics is concerned with the collection and analysis of data in order to obtain a better understanding of phenomena, and its methods have proved relevant to a wide range of subjects. The strength of this text, now in its fifth edition, is its applicability across a range of disciplines, making it the perfect choice as an introductory textbook for first year students. Although an elementary knowledge of calculus is assumed, the main focus is on the development and application of statistical ideas. Each topic is explained with the help of numerous realistic practical examples, and reinforced by simple exercises and small projects. In this new edition, the computing content is based on Minitab, Release 14, with its extensive facilities in graphical and descriptive statistics. Additional material, including multiple-choice questions and datasets, is provided on a companion website. .
More details
Edition
5th Revised edition
Language
English
Place of publication
London
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
Illustrations
Dimensions
Height: 247 mm
Width: 192 mm
Thickness: 33 mm
Weight
1640 gr
ISBN-13
978-0-340-81406-2 (9780340814062)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Geoffrey M. Clarke | D. Cooke
A Basic Course in Statistics
Book
10/2004
5th Edition
Wiley
€76.70
Shipment within 10-20 days
Previous edition
G. M. Clarke | D. Cooke
A Basic Course in Statistics
Book
10/1998
4th Edition
Hodder Arnold
€44.75
Article exhausted; check for reprint
Persons
Geoffrey Clarke, formerly of University of Sussex Dennis Cooke, formerly of University of Sussex
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.