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Chapter 1. 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
Chapter 2. Organizing and Displaying Data
Organizing Data
Displaying Data
Summary
Problems to Solve
Key Words
Chapter 3. Percentiles
Common Percentile Divisions
Calculations Using Percentiles
Summary
Problems to Solve
Key Words
Chapter 4. Measures of Central Tendency
The Mode
The Median
The Mean
Relationships Among the Mode, Median, and Mean
Summary
Problems to Solve
Key Words
Chapter 5. Measures of Variability
Range
Interquartile Range
Variance
Standard Deviation
Calculating Standard Deviation for a Sample
Summary
Problems to Solve
Key Words
Chapter 6. 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
Chapter 7. Correlation, Bivariate Regression, and Multiple Regression
Correlation
Calculating the Correlation Coefficient
Bivariate Regression
Multiple Regression
Summary
Problems to Solve
Key Words
Chapter 8. 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
Chapter 9. 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
Chapter 10. 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
Chapter 11. Factorial Analysis of Variance
A Between-Between Example
A Between-Within Example
A Within-Within Example
Summary
Key Words
Chapter 12. Advanced Statistical Procedures
Analysis of Covariance
Multiple Analysis of Variance
Factor Analysis
Discriminant Analysis
Summary
Key Words
Chapter 13. 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
Appendix A Statistical Tables
Appendix B Raw Data
Appendix C Answers to Problems
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Add Statistics in Kinesiology - 3rd Edition, 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 rel, Statistics in Kinesiology - 3rd Edition to the inventory that you are selling on WonderClubX
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Add Statistics in Kinesiology - 3rd Edition, 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 rel, Statistics in Kinesiology - 3rd Edition to your collection on WonderClub |