ABSTRACT

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

  • Is a simple introduction to the jargon
  • Shows you when to be sceptical about statistics
  • Guides you in using computers in statistical analysis.

Statistics Explained 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. People who understand statistics are not unusual. Anyone can do it. In this book, Perry Hinton shows that statistics can be a logical and helpful tool to all of us in deciding answers to our research questions. Statistics Explained will be warmly welcomed by students at all levels, and by the lecturers who struggle to teach them.

chapter 1|4 pages

Introduction

chapter 2|20 pages

Descriptive statistics

chapter 3|10 pages

Standard scores

chapter 4|12 pages

Introduction to hypothesis testing

chapter 5|12 pages

Sampling

chapter 6|14 pages

Hypothesis testing with one sample

chapter 7|8 pages

Selecting samples for comparison

chapter 8|14 pages

Hypothesis testing with two samples

chapter 9|16 pages

Significance, error and power

chapter 10|14 pages

Introduction to the analysis of variance

chapter 11|12 pages

One factor independent measures ANOVA

chapter 12|12 pages

Multiple comparisons

chapter 13|12 pages

One factor repeated measures ANOVA

chapter 15|36 pages

Calculating the two factor ANOVA

chapter 16|8 pages

An introduction to nonparametric analysis

chapter 17|16 pages

Two sample nonparametric analyses

chapter 18|16 pages

One factor ANOVA for ranked data

chapter 19|14 pages

Analysing frequency data: chi-square

chapter 20|22 pages

Linear correlation and regression

chapter 21|12 pages

Multiple correlation and regression

chapter 22|20 pages

Complex analyses and computers

chapter 23|28 pages

An introduction to the general linear model