ABSTRACT

Do you find statistics overwhelming and confusing? Have you ever wished for someone to explain the basics in a clear and easy-to-follow style? This accessible textbook gives a step-by-step introduction to all the topics covered in introductory statistics courses for the behavioural sciences, with plenty of examples discussed in depth, based on real psychology experiments utilising the statistical techniques described. Advanced sections are also provided, for those who want to learn a particular topic in more depth.
Statistics for the Behavioural Sciences: An Introduction begins with an introduction to the basic concepts, before providing a detailed explanation of basic statistical tests and concepts such as descriptive statistics, probability, the binomial distribution, continuous random variables, the normal distribution, the Chi-Square distribution, the analysis of categorical data, t-tests, correlation and regression.
This timely and highly readable text will be invaluable to undergraduate students of psychology, and students of research methods courses in related disciplines, as well as anyone with an interest in the basic concepts and tests associated with statistics in the behavioural sciences.

chapter 1|13 pages

Introduction and basic concepts

chapter 2|7 pages

Chaper 2 Descriptive statistics

chapter |6 pages

Measures of dispersion (or variability)

chapter 3|1 pages

Chaper 3 Introduction to probability

chapter |16 pages

The standard normal distribution

chapter 7|6 pages

Statistical tests on proportions

chapter 9|22 pages

Comparing a pair of means: the matched- and the independent-samples t-test

The matched- and the independent- samples t-test

chapter 10|8 pages

Nonparametric statistical tests

chapter 11|7 pages

Correlation

chapter 12|12 pages

Regression

chapter 13|17 pages

Introduction to power analysis

chapter |1 pages

Appendix

chapter |1 pages

Z table

chapter c|1 pages

table

chapter |1 pages

t table

chapter |1 pages

Main formulae used in the text

chapter |1 pages

Correlation and regression