Search Results for "statistics-for-sports-and-exercise-science-a-practical-approach"

Statistics for Sports and Exercise Science

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: 957
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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

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: 7699
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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

Statistics for Sports and Exercise Science

  • Author: John Newell,Tom Aitchison,Stanley Grant
  • Publisher: Prentice Hall
  • ISBN: 9780132042543
  • Category: Health & Fitness
  • Page: 427
  • View: 7763
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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

Statistics for Sport and Exercise Studies

An Introduction

  • Author: Peter O'Donoghue
  • Publisher: Taylor & Francis
  • ISBN: 1136479279
  • Category: Mathematics
  • Page: 416
  • View: 7840
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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

Statistics for Nursing: A Practical Approach

Statistics for Nursing: A Practical Approach

  • Author: Heavey
  • Publisher: Jones & Bartlett Learning
  • ISBN: 1284142019
  • Category: Medical
  • Page: 302
  • View: 9373
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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

Basic Biostatistics for Geneticists and Epidemiologists

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: 7698
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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 the Health Sciences

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: 3583
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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.

Measurement and Evaluation in Physical Education and Exercise Science

Measurement and Evaluation in Physical Education and Exercise Science

  • Author: Alan C. Lacy,Skip M. Williams
  • Publisher: Routledge
  • ISBN: 1315312719
  • Category: Education
  • Page: 462
  • View: 1123
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The eighth edition of Measurement and Evaluation in Physical Education and Exercise Science, now published in paperback and hardback, offers students a clear and practical guide to best practice for measurement and evaluation in school- and nonschool-based physical activity programs. Written by two academics with backgrounds in physical education teacher education (PETE), the book emphasizes the link between theory and practice and reflects the most recent changes in national physical education programs. It covers a full range of introductory topics, including current trends in measurement and evaluation, program development, statistics, test selection, and an expanded chapter on alternative assessment, before introducing: • measurement for health-related physical fitness • measurement for psychomotor skills • measurement for cognitive knowledge • measurement for affective behaviors • grading • self-evaluation. Each chapter features learning aids such as objectives, key terms, practical applications, and review questions, while an appendix offers in-depth Excel assignments. Offering a full companion website featuring an instructor’s manual, lecture slides, and a test bank, Measurement and Evaluation in Physical Education and Exercise Science is a complete resource for instructors and students, alike. It is an essential text for students in measurement and evaluation classes as part of a degree program in physical education, exercise science or kinesiology, and a valuable reference for practitioners seeking to inform their professional practice.

Practical Statistics for Nursing and Health Care

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: 9579
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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

Practical Skills in Sport and Exercise Science

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: 4143
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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.

Statistics for the Social Sciences

Statistics for the Social Sciences

  • Author: R. Mark Sirkin
  • Publisher: SAGE
  • ISBN: 9781412905466
  • Category: Mathematics
  • Page: 610
  • View: 2163
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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.

Handbook of Statistical Methods and Analyses in Sports

Handbook of Statistical Methods and Analyses in Sports

  • Author: Jim Albert,Mark E. Glickman,Tim B. Swartz,Ruud H. Koning
  • Publisher: CRC Press
  • ISBN: 1351678965
  • Category: Mathematics
  • Page: 520
  • View: 2660
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This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.

Sport and Exercise Psychology

Sport and Exercise Psychology

  • Author: Joanne Thatcher,Melissa Day,Rachel Rahman
  • Publisher: Learning Matters
  • ISBN: 1844458415
  • Category: Sports & Recreation
  • Page: 240
  • View: 5055
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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.

Bayesian Logical Data Analysis for the Physical Sciences

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: 5457
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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.

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

  • Author: Jean-Michel Marin,Christian Robert
  • Publisher: Springer Science & Business Media
  • ISBN: 0387389830
  • Category: Mathematics
  • Page: 258
  • View: 6944
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This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book.

Understanding and Using Statistics in Psychology

Understanding and Using Statistics in Psychology

A Practical Introduction

  • Author: Jeremy Miles,Philip Banyard
  • Publisher: SAGE
  • ISBN: 9780761943976
  • Category: Psychology
  • Page: 356
  • View: 1512
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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

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: 7810
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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.

Statistics for Health Care Research

Statistics for Health Care Research

A Practical Workbook

  • Author: Susan K. Grove
  • Publisher: W B Saunders Company
  • ISBN: 9781416002260
  • Category: Medical
  • Page: 351
  • View: 9173
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Machine Learning

Machine Learning

a Concise Introduction

  • Author: Steven W. Knox
  • Publisher: John Wiley & Sons
  • ISBN: 1119439078
  • Category: Computers
  • Page: 352
  • View: 4413
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AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field—presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. The design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for optimization, risk estimation, and model selection— essential elements of most applied projects. This important resource: Illustrates many classification methods with a single, running example, highlighting similarities and differences between methods Presents R source code which shows how to apply and interpret many of the techniques covered Includes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions Contains useful information for effectively communicating with clients A volume in the popular Wiley Series in Probability and Statistics, Machine Learning: a Concise Introduction offers the practical information needed for an understanding of the methods and application of machine learning. STEVEN W. KNOX holds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has over twenty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He currently serves as Technical Director of Mathematics Research and Senior Advocate for Data Science at the National Security Agency.

Statistical Methods for the Information Professional

Statistical Methods for the Information Professional

A Practical, Painless Approach to Understanding, Using, and Interpreting Statistics

  • Author: Liwen Vaughan
  • Publisher: Information Today, Inc.
  • ISBN: 9781573871105
  • Category: Business & Economics
  • Page: 209
  • View: 1725
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In this unique and useful book, Liwen Vaughan clearly explains the statistical methods used in information science research, focusing on basic logic rather than mathematical intricacies. Her emphasis is on the meaning of statistics, when and how to apply them, and how to interpret the results of statistical analysis. Through the use of real-world examples, she shows how statistics can be used to improve services, make better decisions, and conduct more effective research. More than 80 helpful figures and tables, seven appendices, a bibliography, and an index are included.