Statistics for sports and exercise science

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Last edited by MARC Bot
December 15, 2022 | History

Statistics for sports and exercise science

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Publish Date
Language
English

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Previews available in: English

Edition Availability
Cover of: Statistics for Sports and Exercise Science
Statistics for Sports and Exercise Science: A Practical Approach
2014, Taylor & Francis Group
in English
Cover of: Statistics for Sports and Exercise Science
Statistics for Sports and Exercise Science: A Practical Approach
2014, Taylor & Francis Group
in English
Cover of: Statistics for Sports and Exercise Science
Statistics for Sports and Exercise Science: A Practical Approach
2014, Taylor & Francis Group
in English
Cover of: Statistics for Sports and Exercise Science
Statistics for Sports and Exercise Science: A Practical Approach
2014, Taylor & Francis Group
in English
Cover of: Statistics for sports and exercise science
Statistics for sports and exercise science
2010, Pearson Education Limited
in English

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Book Details


Table of Contents

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.

Edition Notes

Includes bibliographical references and index.

Published in
Harlow, England

Classifications

Dewey Decimal Class
613.7/1
Library of Congress
GV558 .N475 2010, GV558.N475 2010, GV558

The Physical Object

Pagination
p. cm.

ID Numbers

Open Library
OL23208310M
Internet Archive
statisticsforspo0000newe
ISBN 13
9780132042543
LCCN
2009016104
OCLC/WorldCat
897810576

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History

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December 15, 2022 Edited by MARC Bot import existing book
October 5, 2022 Edited by ImportBot import existing book
September 16, 2021 Edited by ImportBot import existing book
April 20, 2010 Edited by WorkBot update details
December 11, 2009 Created by WorkBot add works page