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Introduction to statistics in human performanceusing SPSS and R /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to statistics in human performanceDale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen.
Reminder of title:	using SPSS and R /
Author:	Mood, Dale.
other author:	Morrow, James R.,
Published:	New York, NY :Routledge,2020.
Description:	1 online resource (xxix, 411 p.) :ill.
Notes:	First edition published: Scottsdale, Arizona : Holcomb Hathaway, Publishers, 2015.
Notes:	Includes index.
Subject:	Statistics
Online resource:	https://www.taylorfrancis.com/books/9781351211062
ISBN:	9781351211062$q(electronic bk.)

Introduction to statistics in human performanceusing SPSS and R /
Mood, Dale.

Introduction to statistics in human performanceusing SPSS and R /[electronic resource] :Dale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen. - Second edition. - New York, NY :Routledge,2020. - 1 online resource (xxix, 411 p.) :ill.

First edition published: Scottsdale, Arizona : Holcomb Hathaway, Publishers, 2015.

Cover; Half Title; Title; Copyright; Dedication; Contents; Lists of Figures; List of Tables; List of Symbols; List of Equations; Preface; Acknowledgments; Student Introduction; 1 Research Methods; Introduction; Video 1.1 Introduction to Research Issues and Vocabulary; The Nature of Research; Gaining Knowledge; Theories; Hypotheses; Video 1.2 How Statistics Fit into Research; Levels of Knowledge; Types of Reasoning; Types of Research; The Scientific Method; The Data Collected; Populations and Samples; Variables; Variance; Summary of the Scientific Method

An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis. Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on: research methods descriptive statistics the normal curve and standard scores correlation and regression inferential statistics introduction issues in inferential statistics t-tests anova, factorial anova and manova advanced statistics, and nonparametric statistics Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics.

ISBN: 9781351211062$q(electronic bk.)Subjects--Uniform Titles:

SPSS (Computer file)
Subjects--Topical Terms:

252987
Statistics
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA276.4 / .M655 2020eb

Dewey Class. No.: 519.5

Introduction to statistics in human performanceusing SPSS and R /
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245 1 0 $a Introduction to statistics in human performance $h [electronic resource] : $b using SPSS and R / $c Dale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen.
250 $a Second edition.
260 $a New York, NY : $b Routledge, $c 2020.
300 $a 1 online resource (xxix, 411 p.) : $b ill.
500 $a First edition published: Scottsdale, Arizona : Holcomb Hathaway, Publishers, 2015.
500 $a Includes index.
505 0 $a Cover; Half Title; Title; Copyright; Dedication; Contents; Lists of Figures; List of Tables; List of Symbols; List of Equations; Preface; Acknowledgments; Student Introduction; 1 Research Methods; Introduction; Video 1.1 Introduction to Research Issues and Vocabulary; The Nature of Research; Gaining Knowledge; Theories; Hypotheses; Video 1.2 How Statistics Fit into Research; Levels of Knowledge; Types of Reasoning; Types of Research; The Scientific Method; The Data Collected; Populations and Samples; Variables; Variance; Summary of the Scientific Method
505 8 $a Video 1.3 Knowing and the Scientific MethodResearch Validity; Internal Validity; External Validity; Balancing Internal and External Validity; Factors Threatening Internal Validity; Increasing Internal Validity; Video 1.4 Internal Validity and Threats to It; Factors Threatening External Validity; Improving External Validity; Video 1.5 External Validity and Threats to It; The Relationship Between Internal and External Validity; Experimental Design; Selection of Statistical Procedure; Summary; Video 1.6 Chapter 1 Summary: Concepts and Terms; Review Questions and Practice Problems; References
505 8 $a 2 Introduction to Measurement and StatisticsIntroduction; Statistics as a Tool; Introduction to Measurement; Levels of Measurement; Video 2.1 Introduction to Measurement; Accuracy of Measurement; Measurement Validity; Video 2.2 Measurement Validity; Measurement Reliability; Video 2.3 Measurement Reliability; Measurement Objectivity; The Relationship Between Measurement Validity and Reliability; Types of Statistics; Descriptive Statistics; Correlational Statistics; Inferential Statistics; Video 2.4 Categories of Statistics: Descriptive, Correlational, and Inferential; Use of SPSS and R
505 8 $a Video 3.2R RStudio Calculating Measures of Central TendencyThe Danger of Using the Word Average; Measures of Variability; Range; Semi-Interquartile Range; Population Variance; Population Standard Deviation; Calculating Variance and Standard Deviation; Sample Variance and Standard Deviation; Raw Score Equations for Sample Variance and Standard Deviation; Video 3.3 Variance and Standard Deviation as Measures of Variability; Video 3.4 SPSS Various Equations to Calculate Variance and Standard Deviation; Video 3.4R RStudio Various Equations to Calculate Variance and Standard Deviation; Summary
520 $a An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis. Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on: research methods descriptive statistics the normal curve and standard scores correlation and regression inferential statistics introduction issues in inferential statistics t-tests anova, factorial anova and manova advanced statistics, and nonparametric statistics Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics.
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650 0 $a Statistics $x Data processing. $3 183693
650 0 $a Exercise $x Physiological aspects $x Mathematics. $3 197941
650 0 $a R (Computer program language) $3 210846
650 7 $a MATHEMATICS / Probability & Statistics / General $2 bisacsh $3 966309
650 7 $a SPORTS & RECREATION / General $2 bisacsh $3 584649
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Morrow, James R., $c Jr., $d 1947- $3 974647
700 1 $a McQueen, Matthew Bruce. $3 974648
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