Discovering statistics
Why bother with statistics in sports science?
The basic approach
Some basic vocabulary
More on variables
Some underlying ideas
Examples of case studies
Summary
Designing a study
Introduction
Collecting the data (sampling)
Sources of variablility
Other important issues in designing a study
Summary
Summarising and displaying data
Introduction
Numerical summaries for continuous variables
Graphical methods for continuous variables
Single-sample problems (independent data)
Designs involving between-subject factors only
Within-subject designs (dependent data)
Designs with between- and within-subject factors
Between-subject designs incorporating a covariate
Modelling relationships (correlation and regression)
Summary
Technical appendix
Estimating parameters
Introduction
Interval estimation
Interval estimation for a population mean
Comparing two population means (the simplest between-subject design)
Interval estimation for paired data (the simplest within-subject design)
One between- and one within-subject factor (each at two levels)
Prediction and tolerance intervals
What if the normality assumption is questionable?
Summary.
Statistics for sports and exercise science : a practical approach by John Newell. ISBN 9780132042543. Published by Pearson Education in 2010. Publication and catalogue information, links to buy online and reader comments.