Statistics for sports and exercise science / John Newell, Tom Aitchison, Stanley Grant
Material type: TextPublication details: Harlow : Pearson Education, 2010Description: xii, 427 s. : ill. ; 25 cmISBN:- 0132042541
- 9780132042543
- 613.71 NEW
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Standard Loan | Thurles Library Main Collection | 613.71 NEW (Browse shelf(Opens below)) | 1 | Available | 39002100661553 |
Enhanced descriptions from Syndetics:
Statistics 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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Introduction Acknowledgements 1 Discovering statistics 2 Designing a study 3 Summarising and displaying data 4 Estimating parameters 5 Testing hypotheses 6 Modelling relationships: regression 7 Investigating between-subject factors: independent observations 8 Modelling categorical data 9 Investigating within-subject factors: dependent observations 10 Investigating studies with between-subject and within-subject factors: more on dependent observations 11 Handling linear mixed-effects models: more on dependent observations 12 Measurement error and method agreement studies 13 Speculating on the sample size required Appendix: Table of illustrations and exercises Index
Includes bibliographical references and index.
Indhold: Discovering statistics ; Designing a study ; Summarising and displaying data ; Estimating parameters ; Testing hypotheses ; Modelling relationships: regression ; Investigating between-subject factors: independent observations ; Modelling categorical data ; Investigating within-subject factors: dependent observations ; Investigating studies with between-subject and within-subject factors: more on dependent observations ; Handling linear mixed-effects models: more on dependent observations ; Measurement error and method agreement studies ; Speculating on the sample size required
Table of contents provided by Syndetics
- Introduction
- Acknowledgements
- 1 Discovering statistics
- 2 Designing a study
- 3 Summarising and displaying data
- 4 Estimating parameters
- 5 Testing hypotheses
- 6 Modelling relationships: regression
- 7 Investigating between-subject factors: independent observations
- 8 Modelling categorical data
- 9 Investigating within-subject factors: dependent observations
- 10 Investigating studies with between-subject and within-subject factors: more on dependent observations
- 11 Handling linear mixed-effects models: more on dependent observations
- 12 Measurement error and method agreement studies
- 13 Speculating on the sample size required
- Appendix: Table of illustrations and exercises
- Index
Author notes provided by Syndetics
John Newell is a Senior Lecturer in Biostatistics at the Clinical Research Facility, National University of Ireland, Galway.
Tom Aitchison is a retired Senior Lecturer in Statistics at the University of Glasgow.
Stanley Grant is a retired Senior Lecturer at the Institute of Biomedical and Life Sciences, University of Glasgow.