# Statistics in Kinesiology

## Edition: 3rd 2005 (Revised)

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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 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.

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#### Book details

List price: \$39.00
Edition: 3rd
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

 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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