Statistics for Sports and Exercise Science: A Practical ApproachStatistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science. Statistical tests and techniques are described here in a friendly and easy-to-understand manner, giving you the confidence to analyses data and complete your own statistical studies.
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Contents
1 Discovering statistics | 1 |
2 Designing a study | 11 |
3 Summarising and displaying data | 34 |
4 Estimating parameters | 78 |
5 Testing hypotheses | 116 |
regression | 135 |
independent observations | 175 |
8 Modelling categorical data | 213 |
Other editions - View all
Statistics for Sports and Exercise Science John Newell,Tom Aitchison,Stanley Grant No preview available - 2010 |
Common terms and phrases
Additional analysis ANOVA appears approach appropriate Ascent assumed assumption average Balance between-subject factor Body Fat Body Mass box plot carried Chapter compared comparison Conclusion considered Control covariate dependence difference effect Elite equal error evidence example Exercise explanatory variables Females Figure fitness given Grip Strength Heart Rate Height higher hypothesis Illustration improvement increase individual interest interval estimate Intervention involving Lactate less levels linear Males measured median methods minutes multiple Name Normal Normal distribution null observations P-value pain Peak performance players poles population mean positive possible Power prediction problem proportions random range Reduction Reference Regime regression relationship researcher Residual Resistance response variable running sample mean Scatter plot seconds separate significant significantly simple soccer Sprint standard deviation statistics step subjects suggest summary Treatment two-sample typical Walking within-subject factor