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Statistics in Kinesiology by William J. Vincent and Joseph P. Weir 5th Ed. 2021
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eBay-Artikelnr.:286843148053
Artikelmerkmale
- Artikelzustand
- ISBN
- 9781492560715
Über dieses Produkt
Product Identifiers
Publisher
Human Kinetics
ISBN-10
1492560715
ISBN-13
9781492560715
eBay Product ID (ePID)
6038387176
Product Key Features
Number of Pages
312 Pages
Language
English
Publication Name
Statistics in Kinesiology
Subject
Probability & Statistics / General, Life Sciences / Anatomy & Physiology (See Also Life Sciences / Human Anatomy & Physiology), Life Sciences / Human Anatomy & Physiology, Research & Methodology
Publication Year
2020
Type
Textbook
Subject Area
Mathematics, Science
Format
Trade Paperback
Dimensions
Item Height
0.8 in
Item Weight
30.5 Oz
Item Length
10.9 in
Item Width
8.5 in
Additional Product Features
Edition Number
5
Intended Audience
College Audience
LCCN
2019-036190
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
612.76
Table Of Content
Chapter 1. Measurement, Statistics, and Research What Is Measurement? Process of Measurement Variables and Constants Research Design and Statistical Analysis Statistical Inference Summary Chapter 2. Organizing and Displaying Data Organizing Data Displaying Data Summary Chapter 3. Percentiles Common Percentile Divisions Calculations Using Percentiles Summary Chapter 4. Measures of Central Tendency Mode Median Mean Relationships Among the Mode, Median, and Mean Summary Chapter 5. Measures of Variability Range Interquartile Range Variance Standard Deviation Definition Method of Hand Calculations Calculating Standard Deviation for a Sample Coefficient of Variation Standard Deviation and Normal Distribution Summary Chapter 6. The Normal Curve Z Scores Standard Scores Probability and Odds Calculating Skewness and Kurtosis Summary Chapter 7. Fundamentals of Statistical Inference Predicting Population Parameters Using Statistical Inference Estimating Sampling Error Levels of Confidence, Confidence Intervals, and Probability of Error An Example Using Statistical Inference Statistical Hypothesis Testing Type I and Type II Error Degrees of Freedom Living With Uncertainty Two- and One-Tailed Tests Applying Confidence Intervals Summary Chapter 8. Correlation and Bivariate Regression Correlation Calculating the Correlation Coefficient Bivariate Regression Homoscedasticity Summary Chapter 9. Multiple Correlation and Multiple Regression Multiple Correlation Partial Correlation Multiple Regression Summary Chapter 10. The t Test: Comparing Means From Two Sets of Data The t Tests Types of t Tests Magnitude of the Difference (Size of Effect) Determining Power and Sample Size The t Test for Proportions Summary Chapter 11. Simple Analysis of Variance: Comparing the Means Among Three or More Sets of Data Assumptions in ANOVA Sources of Variance Calculating F : The Definition Method Determining the Significance of F Post Hoc Tests Magnitude of the Treatment (Size of Effect) Summary Chapter 12. Analysis of Variance With Repeated Measures Assumptions in Repeated Measures ANOVA Calculating Repeated Measures ANOVA Correcting for Violations of the Assumption of Sphericity Post Hoc Tests Interpreting the Results An Example From Leisure Studies and Recreation Summary Chapter 13. Quantifying Reliability Intraclass Correlation Coefficient Standard Error of Measurement Summary Chapter 14. Factorial Analysis of Variance A Between-Between Example A Between-Within Example A Within-Within Example Summary Chapter 15. Analysis of Covariance Relationship Between ANOVA and Regression ANCOVA and Statistical Power Assumptions in ANCOVA The Pretest-Posttest Control Group Design Pairwise Comparisons Summary Chapter 16. Analysis of Nonparametric Data Chi-Square (Single Classification) Chi-Square (Two or More Classifications) Rank Order Correlation Mann-Whitney U Test Kruskal-Wallis ANOVA for Ranked Data Friedman''s Two-Way ANOVA by Ranks Summary Chapter 17. Clinical Measures of Association Relative Risk Odds Ratio Diagnostic Testing Summary Chapter 18. Advanced Statistical Procedures Multilevel Modeling Meta-Analysis Multiple Analysis of Variance Factor Analysis Discriminant Analysis Summary Appendix: Statistical Tables
Synopsis
Statistics in Kinesiology, Fifth Edition, introduces basic statistical concepts, with an emphasis on those commonly used in the exercise sciences. Examples drawn from kinesiology fields and extensive problem sets facilitate a deeper understanding of statistical methods and their applications., Statistics in Kinesiology, Fifth Edition With Web Resource, offers students in kinesiology and exercise science programs a unique introduction to the statistics concepts and techniques relevant to their specific field of study. Drawing from examples across kinesiology, including exercise physiology, biomechanics, physical education, and physical therapy, this essential text provides students with a statistical skill set that will enable them to analyze quantitative data and find answers to questions they will encounter in their specific disciplines. As in previous editions, emphasis is placed on methods commonly seen in kinesiology, such as correlation and bivariate regression, t tests, analysis of variance (ANOVA), and the interpretation of interactions in factorial analyses of variance. The fifth edition also incorporates fully updated content reflecting the changing face of kinesiology: Comparisons of observational versus experimental research and nonparametric versus parametric methods of analyzing categorical and ordinal data More detailed coverage on how to calculate central tendency when data have been transformed (e.g., log transformations) as well as multiple ways to interpret the correlation coefficient Expanded coverage of statistical graphs, including dot plots and spaghetti plots A discussion of the real meaning of p values and confidence intervals An introduction to frequentist approaches versus Bayesian methods In addition, a new web resource offers abridged presentations of complex statistical concepts and an interactive platform to practice problem solving. Mini lectures, consisting of narrated slideshows, provide further explanations and may be quickly accessed through QR codes placed at the end of each chapter. Sample problems then provide an opportunity for students to put the concepts into practice. Statistical software tools commonly used in kinesiology applications--such as JASP and G*Power--are briefly introduced, encouraging students to apply their knowledge of statistical procedures to generate and interpret computer results with confidence and ease. With Statistics in Kinesiology, Fifth Edition, students will gain a solid understanding of the statistical techniques used in physical activity fields. The book's practical approach, based on the authors' more than 50 years of combined experience in teaching statistics, will make it easy for students to learn these important, but often intimidating, concepts., Textbook undergraduate courses in statistics or measurement in kinesiology and exercise science programs; a reference for professionals in movement sciences., Statistics in Kinesiology, Fifth Edition With Web Resource, offers students in kinesiology and exercise science programs a unique introduction to the statistics concepts and techniques relevant to their specific field of study. Drawing from examples across kinesiology, including exercise physiology, biomechanics, physical education, and physical therapy, this essential text provides students with a statistical skill set that will enable them to analyze quantitative data and find answers to questions they will encounter in their specific disciplines. As in previous editions, emphasis is placed on methods commonly seen in kinesiology, such as correlation and bivariate regression, t tests, analysis of variance (ANOVA), and the interpretation of interactions in factorial analyses of variance. The fifth edition also incorporates fully updated content reflecting the changing face of kinesiology: Comparisons of observational versus experimental research and nonparametric versus parametric methods of analyzing categorical and ordinal data More detailed coverage on how to calculate central tendency when data have been transformed (e.g., log transformations) and how coefficient of variation is used to interpret the standard error of measurement Expanded coverage of statistical graphs, including bar and plunger graphs, dot plots, and spaghetti plots Recurring discussions of the use of G*Power software In addition, a new web resource offers abridged presentations of complex statistical concepts and an interactive platform to practice problem solving. Mini lectures, consisting of narrated slideshows, provide further explanations and may be quickly accessed through QR codes placed at the end of each chapter. Sample problems then provide an opportunity for students to put the concepts into practice. Statistical software tools commonly used in kinesiology applications--such as Excel, SPSS, JASP, and G*Power--are briefly introduced, encouraging students to apply their knowledge of mathematical formulas to critically evaluate and interpret computer results with confidence and ease. With Statistics in Kinesiology, Fifth Edition, students will gain a solid understanding of the statistical techniques used in physical activity fields. The book's practical approach, based on the authors' more than 50 years of combined experience in teaching statistics, will make it easy for students to learn these important, but often intimidating, concepts.
LC Classification Number
QP303.V53 2021
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