Statistics in Kinesiology

ISBN-10: 0736057927
ISBN-13: 9780736057929
Edition: 3rd 2005 (Revised)
List price: $39.00 Buy it from $2.69
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Description: Statistics in Kinesiology, Third Edition, is an introductory text that will help students learn how to use a variety of statistical techniques. The book uses examples and data sets that should be familiar to students majoring in kinesiology and  More...

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Book details

List price: $39.00
Edition: 3rd
Copyright year: 2005
Publisher: Human Kinetics Publishers
Publication date: 12/22/2004
Binding: Paperback
Pages: 328
Size: 6.00" wide x 8.75" long x 1.00" tall
Weight: 1.144
Language: English

Statistics in Kinesiology, Third Edition, is an introductory text that will help students learn how to use a variety of statistical techniques. The book uses examples and data sets that should be familiar to students majoring in kinesiology and related fields, thus making it easier to learn and apply the statistical concepts.This new edition contains the following features:--Updates and revisions that develop statistical techniques in a simpler and clearer way-Upgraded content with new and extensive problem sets to help students interact with the subject matter-Techniques that can be applied to kinesiological subdisciplines and that are relevant to the movement sciencesUsing statistical techniques from physical education, exercise science, administration, and pedagogy, students with basic algebraic skills will be able to interpret data by hand calculation and check their results against computer output. While the text preserves its basic techniques, there is expanded content on computer usage in relation to statistics, which will further enhance understanding and reflect the changes in the field. By gaining knowledge of the mathematical formulas used by software programs, students will learn to critically evaluate computer results and interpret data with greater confidence and ease.The extensive problem sets, complete with answers, come with key words to identify the content that students should carefully review. The new problem sets in this edition are designed to help students interact more fully with the content and thus more fully learn the concepts and techniques.In the early chapters, students receive a thorough introduction to measurement, statistics, and research; learn how to organize and display data; and calculate using percentiles. Students then move on to study measures of central tendency and variability, curves and sampling errors, and correlations and different types of regressions. Later they learn how to use t tests and how to analyze variance, comparing means and using repeated measures. Students also learn advanced statistical procedures and how to analyze nonparametric data.This new edition is highly readable and well illustrated with figures explaining or demonstrating statistical concepts. By using Statistics in Kinesiology, Third Edition, students should gain a firm knowledge on the relevant statistical techniques used in physical activity fields, and professionals have a great reference at their fingertips.

Measurement, Statistics, and Research
What Is Measurement?
The Process of Measurement
Variables and Constants
Research Design and Statistical Analysis
Statistical Inference
Summary
Problems to Solve
Key Words
Organizing and Displaying Data
Organizing Data
Displaying Data
Summary
Problems to Solve
Key Words
Percentiles
Common Percentile Divisions
Calculations Using Percentiles
Summary
Problems to Solve
Key Words
Measures of Central Tendency
The Mode
The Median
The Mean
Relationships Among the Mode, Median, and Mean
Summary
Problems to Solve
Key Words
Measures of Variability
Range
Interquartile Range
Variance
Standard Deviation
Calculating Standard Deviation for a Sample
Summary
Problems to Solve
Key Words
The Normal Curve and Sampling Error
Z Scores
Standard Scores
Predicting Population Parameters Using Statistical Inference
Estimating Sampling Error
Levels of Confidence and Probability of Error
Calculating Skewness and Kurtosis
Summary
Problems to Solve
Key Words
Correlation, Bivariate Regression, and Multiple Regression
Correlation
Calculating the Correlation Coefficient
Bivariate Regression
Multiple Regression
Summary
Problems to Solve
Key Words
The t Test: Comparing Means From Two Sets of Data
t Tests
Assumptions for the t Test
Comparing Two Independent Samples (A Between Comparison)
Repeated Measures Design (A Within Comparison)
The Magnitude of the Difference (Size of Effect)
Type I and Type II Errors
Two- and One-Tailed Tests
Determining Power and Sample Size
The t Test for Proportions
Summary
Problems to Solve
Key Words
Simple Analysis of Variance: Comparing the Means Among Three or More Sets of Data
Assumptions in ANOVA
Sources of Variance
Calculating F
Determining the Significance of F
Post Hoc Tests
The Magnitude of the Treatment (Size of Effect)
Summary
Problems to Solve
Key Words
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
Intraclass Reliability
Summary
Problems to Solve
Key Words
Factorial Analysis of Variance
A Between-Between Example
A Between-Within Example
A Within-Within Example
Summary
Key Words
Advanced Statistical Procedures
Analysis of Covariance
Multiple Analysis of Variance
Factor Analysis
Discriminant Analysis
Summary
Key Words
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
Problems to Solve
Key Words
Statistical Tables
Raw Data
Answers to Problems
Glossary
References
Index
About the Author

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