Statistics for Sports and Exercise Science

A Practical Approach

Author: John Newell,Tom Aitchison,Stanley Grant

Publisher: Routledge

ISBN: 1317904184

Category: Sports & Recreation

Page: 440

View: 3549

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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.

Statistics for Sports and Exercise Science

A Practical Approach

Author: John Newell,Tom Aitchison,Stanley Grant

Publisher: Routledge

ISBN: 1317904192

Category: Sports & Recreation

Page: 440

View: 1733

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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.

Statistics for Sports and Exercise Science

Author: John Newell,Tom Aitchison,Stanley Grant

Publisher: Prentice Hall

ISBN: 9780132042543

Category: Health & Fitness

Page: 427

View: 8774

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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. “This is the best statistics text I have come across in 7 years of teaching on undergraduate sport degrees. Students have always struggled to see the application of statistics to their degree … Statistics for Sports and Exercise Science eliminates this problem,” - Dr Mick Wilkinson, Department of Sport Sciences, Northumbria University "Easily the best book in the area, specific material for sport students."- Dr Rodney Kennedy, School of Sport Studies, University of Ulster "I really like the Newell book and will definitely be recommending it to the students on my two research methods modules... The information in the book is first class." - Dr Adrian W Midgley, Department of Sport, Health and Exercise Science, University of Hull “Incredibly easy to read, full of real-life examples, and very much appropriate for Sports Science students.” - Dr Kate Reed, Department of Biological Sciences, University of Essex

Statistics for Sport and Exercise Studies

An Introduction

Author: Peter O'Donoghue

Publisher: Taylor & Francis

ISBN: 1136479279

Category: Mathematics

Page: 416

View: 779

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Statistics for Sport and Exercise Studies guides the student through the full research process, from selecting the most appropriate statistical procedure, to analysing data, to the presentation of results, illustrating every key step in the process with clear examples, case-studies and data taken from real sport and exercise settings. Every chapter includes a range of features designed to help the student grasp the underlying concepts and relate each statistical procedure to their own research project, including definitions of key terms, practical exercises, worked examples and clear summaries. The book also offers an in-depth and practical guide to using SPSS in sport and exercise research, the most commonly used data analysis software in sport and exercise departments. In addition, a companion website includes more than 100 downloadable data sets and work sheets for use in or out of the classroom, full solutions to exercises contained in the book, plus over 1,300 PowerPoint slides for use by tutors and lecturers. Statistics for Sport and Exercise Studies is a complete, user-friendly introduction to the use of statistical tests, techniques and procedures in sport, exercise and related subjects. Visit the companion website at: www.routledge.com/cw/odonoghue

Advanced Statistics for Kinesiology and Exercise Science

A Practical Guide to ANOVA and Regression Analyses

Author: Moh H. Malek,Jared W. Coburn,William D. Marelich

Publisher: Routledge

ISBN: 1351864564

Category: Sports & Recreation

Page: 138

View: 444

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Advanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the study of human performance. Divided into three distinct sections, the book introduces and explores in depth both analysis of variance (ANOVA) and regressions analyses, including chapters on: preparing data for analysis; one-way, factorial, and repeated-measures ANOVA; analysis of covariance and multiple analyses of variance and covariance; diagnostic tests; regression models for quantitative and qualitative data; model selection and validation; logistic regression Drawing clear lines between the use of IBM SPSS Statistics software and interpreting and analyzing results, and illustrated with sport and exercise science-specific sample data and results sections throughout, the book offers an unparalleled level of detail in explaining advanced statistical techniques to kinesiology students. Advanced Statistics for Kinesiology and Exercise Science is an essential text for any student studying advanced statistics or research methods as part of an undergraduate or postgraduate degree programme in kinesiology, sport and exercise science, or health science.

Basic Biostatistics for Geneticists and Epidemiologists

A Practical Approach

Author: Robert C. Elston,William Johnson

Publisher: John Wiley & Sons

ISBN: 0470024917

Category: Medical

Page: 384

View: 4342

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Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.

Statistics for Nursing: A Practical Approach

Author: Heavey

Publisher: Jones & Bartlett Learning

ISBN: 1284142019

Category: Medical

Page: 302

View: 7535

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Statistics for Nursing: A Practical Approach, Third Edition is designed in accordance with the Conversation Theory of Gordon Pask and presents the complicated topic of statistics in an understandable manner for entry level nurses

Statistics for the Health Sciences

A Non-Mathematical Introduction

Author: Christine Dancey,John Reidy,Richard Rowe

Publisher: SAGE

ISBN: 1446291235

Category: Social Science

Page: 584

View: 6429

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Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.

Modelling and Simulation in Sport and Exercise

Author: Arnold Baca,Jürgen Perl

Publisher: Routledge

ISBN: 1351670743

Category: Sports & Recreation

Page: 276

View: 5301

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Modelling and simulation techniques are of central importance to conducting research in sport and exercise science, informing data collection and helping to analyze patterns of movement and physical performance. Modelling and Simulation in Sport and Exercise is the first book to offer an instructive reference for modelling and simulation methods for researchers and sport and exercise scientists. Based around a series of research cases, describing core theories in applied, practical settings, the book draws on examples of modelling and simulation in ball games, biomechanical analysis, physiological testing and monitoring, predictive analysis and sports engineering and product design. Each research case presents a central problem, discusses different modelling approaches that could be used to deal with the issue, analysis of results and a reflection on the methodology and an exercise for students to put the techniques discussed into practice. This is an important reference for any active researcher or upper-level student in sport and exercise science with an interest in mathematical modelling, computer science or simulation techniques.

Practical Statistics for Nursing and Health Care

Author: Jim Fowler,Phil Jarvis,Mel Chevannes

Publisher: John Wiley & Sons

ISBN: 111868561X

Category: Science

Page: 400

View: 6209

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Nursing is a growing area of higher education, in which an introduction to statistics is an essential component. There is currently a gap in the market for a 'user-friendly' book which is contextulised and targeted for nursing. Practical Statistics for Nursing and Health Care introduces statistical techniques in such a way that readers will easily grasp the fundamentals to enable them to gain the confidence and understanding to perform their own analysis. It also provides sufficient advice in areas such as clinical trials and epidemiology to enable the reader to critically appraise work published in journals such as the Lancet and British Medical Journal. * Covers all basic statistical concepts and tests * Is user-friendly - avoids excessive jargon * Includes relevant examples for nurses, including case studies and data sets * Provides information on further reading * Starts from first principles and progresses step by step * Includes 'advice on' sections for all of the tests described

Statistics for the Social Sciences

Author: R. Mark Sirkin

Publisher: SAGE

ISBN: 9781412905466

Category: Mathematics

Page: 610

View: 2355

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Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.

Practical Skills in Sport and Exercise Science

Author: Peter Reaburn,Ben Dascombe,Rob Reed,Jonathan Weyers,Allan Jones

Publisher: Pearson Higher Ed

ISBN: 1408203804

Category: Science

Page: 432

View: 4738

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If you are studying exercise and sports science, or a related course, then this book will be an indispensable companion throughout your entire degree programme. This ‘one-stop’ text will guide you through the wide range of practical, analytical and data handling skills that you will need during your undergraduate and/or postgraduate studies. It will also give you a solid grounding in the wider transferable skills such as teamwork, using information technology, communicating information and study skills. Practical Skills in Exercise and Sports Science provides an easy-to-read guide to help you develop the skills you need to succeed. It explains the essential elements of practical techniques and procedures in a step-by-step manner to help you understand their application in the context of exercise and sports science. This text’s unique and comprehensive coverage includes: general advice on practical work; measuring techniques; field tests; statistical techniques; analysis and presentation of data; and study skills.

Applied Statistics for the Social and Health Sciences

Author: Rachel A. Gordon

Publisher: Routledge

ISBN: 0415875366

Category: Mathematics

Page: 742

View: 514

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Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data processing and analysis teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a two-semester course. For a one-semester course, see http://www.routledge.com/9780415991544/

Bayesian Logical Data Analysis for the Physical Sciences

A Comparative Approach with Mathematica® Support

Author: Phil Gregory

Publisher: Cambridge University Press

ISBN: 113944428X

Category: Mathematics

Page: N.A

View: 6172

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Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.

Sport and Exercise Psychology

Author: Joanne Thatcher,Melissa Day,Rachel Rahman

Publisher: Learning Matters

ISBN: 1844458415

Category: Sports & Recreation

Page: 240

View: 7965

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Electronic Inspection Copy available for instructors here This is a comprehensive and accessible text on exercise and sport psychology for students on sport science/sport and exercise science degrees. It adopts an integrated, thematic approach and covers all the required theory, concepts and research, accompanied by case studies to illustrate the applied nature of the material being covered. The book is split into two major sections, covering exercise psychology and sport psychology, and each chapter supports students as they progress from clear introductory material to more advanced discussions.

Complex Sport Analytics

Author: Felix Lebed

Publisher: Routledge

ISBN: 1317434757

Category: Sports & Recreation

Page: 298

View: 7695

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This book is the first to combine principles from analytics, complex systems theory, multi-disciplinary diagnostics and sport performance analysis. It considers athletes, teams, and sport organizations in individual and team games as complex systems, and demonstrates how complexity studies can enrich analytics and give us a more sophisticated understanding of the causalities of winning and losing in sports. Part I introduces the basic categories of analytics and their uses in elite sport. Part II presents an original conception of sport analytics both as a complex of different kinds of processes and as a complexity-adapted view of human systems acting in sport performance and management. Part III considers the main principles of complex sport analytics, expanding the prism of complexity to include all levels of a sport organization from athletes, coaches and trainers to top decision makers, and suggests practical applications and simulations for cases of both individual and team sports. This is illuminating reading for any advanced student, researcher or practitioner working in sport analytics, performance analysis, coaching science or sport management.

Understanding and Using Statistics in Psychology

A Practical Introduction

Author: Jeremy Miles,Philip Banyard

Publisher: SAGE

ISBN: 9780761943976

Category: Psychology

Page: 356

View: 2844

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Understanding and Using Statistics in Psychology takes the fear out of psychological statistics to help students understand why statistics are carried out, how to choose the best test, how to carry out the tests, and then perform the analysis in SPSS. Emphasizing the place of statistical analysis in the process of conducting research, from design to report writing, this accessible and straightforward guide takes a non-technical approach, encouraging the reader to understand why a particular test is being used and what the results mean in the context of a psychological study. The focus is on meaning and understanding rather than numerical calculation.

Machine Learning

A Practical Approach on the Statistical Learning Theory

Author: Rodrigo Fernandes de Mello,Moacir Antonelli Ponti

Publisher: Springer

ISBN: 3319949896

Category: Computers

Page: 362

View: 5959

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This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes. It can be used as a textbook in graduation or undergraduation courses, for self-learners, or as reference with respect to the main theoretical concepts of Machine Learning. Fundamental concepts of Linear Algebra and Optimization applied to Machine Learning are provided, as well as source codes in R, making the book as self-contained as possible. It starts with an introduction to Machine Learning concepts and algorithms such as the Perceptron, Multilayer Perceptron and the Distance-Weighted Nearest Neighbors with examples, in order to provide the necessary foundation so the reader is able to understand the Bias-Variance Dilemma, which is the central point of the Statistical Learning Theory. Afterwards, we introduce all assumptions and formalize the Statistical Learning Theory, allowing the practical study of different classification algorithms. Then, we proceed with concentration inequalities until arriving to the Generalization and the Large-Margin bounds, providing the main motivations for the Support Vector Machines. From that, we introduce all necessary optimization concepts related to the implementation of Support Vector Machines. To provide a next stage of development, the book finishes with a discussion on SVM kernels as a way and motivation to study data spaces and improve classification results.