Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, Statistics for the Terrified is also an ideal refresher for students who have already taken a statistics course. Its informal and highly engaging narrative includes self-help strategies, numerous concrete examples, and a great deal of humor.
Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, Statistics for the Terrified is also an ideal refresher for students who have already taken a statistics course. Its informal and highly engaging narrative includes self-help strategies, numerous concrete examples, and a great deal of humor.
John H. Kranzler is professor and director of the School Psychology Program at the University of Florida. His other works include Assessing Intelligence in Children and Adolescents: A Practical Guide.
Inhaltsangabe
Part I: Essentials for Statistics 1. Effective Strategies for Studying Statistics 2. Overcoming Math Anxiety 3. Basic Math Concepts Part II: Describing Univariate Data 4. Frequency Distributions 5. Descriptive Statistics 6. The Normal Curve 7. Percentiles and Standard Scores Part III: Correlation and Regression 8. Correlation Coefficients 9. Linear Regression Part IV: Inferential Statistics 10. Introduction to Inferential Statistics 11. The t Test 12. Analysis of Variance Part V: Additional Topics: Non-Parametric Statistics and Using Statistical Software Programs 13. Nonparametric Statistics: Chi-Square 14. How to Use SPSS 15. Postscript
Part I: Essentials for Statistics 1. Effective Strategies for Studying Statistics 2. Overcoming Math Anxiety 3. Basic Math Concepts Part II: Describing Univariate Data 4. Frequency Distributions 5. Descriptive Statistics 6. The Normal Curve 7. Percentiles and Standard Scores Part III: Correlation and Regression 8. Correlation Coefficients 9. Linear Regression Part IV: Inferential Statistics 10. Introduction to Inferential Statistics 11. The t Test 12. Analysis of Variance Part V: Additional Topics: Non-Parametric Statistics and Using Statistical Software Programs 13. Nonparametric Statistics: Chi-Square 14. How to Use SPSS 15. Postscript
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