The basic skills for analyzing data are explained in this work, which aims to help students to become intelligent consumers of scientific information. The work teaches students when to use a particular statistic, why they should use it, and how the statistic should be computed and interpreted.
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Part I: STATISTICAL PRELIMINARIES. 1. Introduction and Mathematical Preliminaries. 2. Frequency and Probability Distributions. 3. Measures of Central Tendency and Variability. 4. Percentiles, Percentile Ranks, Standard Scores, and the Normal Distribution. 5. Pearson Correlation and Regression: Descriptive Aspects. 6. Probability. 7. Estimation and Sampling Distributions. 8. Hypothesis Testing: Inferences About a Single Mean. Part II: THE ANALYSIS OF BIVARIATE RELATIONSHIPS. 9. Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships. 10. Independent Groups t Test. 11. Correlated Groups t Test. 12. One-Way Between-Subjects Analysis of Variance. 13. One-Way Repeated Measures Analysis of Variance. 14. Pearson Correlation and Regression: Inferential Aspects. 15. Chi-Square Test. 16. Nonparametric Statistics. Part III: ADDITIONAL TOPICS. 17. Two-Way Between-Subjects Analysis of Variance. 18. Overview and Extension: Selecting the Appropriate Statistical Test for Analyzing Bivariate Relationships and Procedures for More Complex Designs.
The basic skills for analyzing data are explained in this work, which aims to help students to become intelligent consumers of scientific information. The work teaches students when to use a particular statistic, why they should use it, and how the statistic should be computed and interpreted.
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