Statistics Explained

Perry R. Hinton

400 pages, parution le 01/05/2004 (2^eme édition)

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Résumé

Do you need help with statistics? Are you confused by the wide range of statistical tests and their uses?

Statistics Explained, Second Edition clearly outlines the major statistical tests used by undergraduates in psychology and the social sciences. It provides easy-to-understand explanations of how and why they are used and makes statistics much less of a burden. This book:

is a simple introduction to statistical concepts and ideas
shows you when to be sceptical about statistics
helps you to understand the results of statistical analysis by computer.

Expanding and revising the best-selling first edition, the author has included new material which throws light on the mysteries of the general linear model, power, reliability and factor analysis, whilst other areas have been fully up-dated. Unobtrusive cross-referencing makes this the ideal companion to SPSS Explained, also published by Routledge.

Statistics Explained, Second Edition can be dipped into so that readers can see why a specific analytical procedure was developed and what it is best used for. Readers can also analyse their own data by following the worked examples provided.

L'auteur - Perry R. Hinton

Perry R. Hinton is Academic Director at Westminster Institute of Education, Oxford Brookes University. He has many years of experience of teaching statistics to undergraduates in the social sciences. He is co-author of SPSS Explained (Routledge, 2004).

Sommaire

Introduction
Descriptive Statistics
Standard Scores
Introduction to Hypothesis Testing
Sampling
Hypothesis Testing with One Sample
Selecting Samples for Comparison
Hypothesis Testing with Two Samples
Statistical Power
Introduction to the Analysis of Variance
One Factor Independent Measures ANOVA
Multiple Comparisons
One Factor Repeated Measures ANOVA
The Interaction of Factors in the Analysis of Variance
Calculating the Two Factor ANOVA
Introduction to Nonparametric Analysis
Two Sample Nonparametric Analyses
One Factor ANOVA for Ranked Data
Analysing Frequency Data : Chi-Square
Linear Correlation and Regression
Multiple Correlation and Regression
Complex Analyses and Computers
An Introduction to the General Linear Model
Appendix: Statistical Tables

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Routledge
Auteur(s)	Perry R. Hinton
Parution	01/05/2004
Édition	2^eme édition
Nb. de pages	400
Format	17,5 x 24,5
Couverture	Broché
Poids	800g
Intérieur	Noir et Blanc
EAN13	9780415332859