2021•Unpublished venueRequires access

Statistics: A Gentle Introduction

Frederick L. Coolidge

Open publisher page 158 citations

Abstract

Preface Acknowledgments About the Author 1. A Gentle Introduction 2. Descriptive Statistics: Understanding Distributions of Numbers 3. Statistical Parameters: Measures of Central Tendency and Variation 4. Standard Scores, the Z Distribution, and Hypothesis Testing 5. Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the z Distribution 6. An Introduction to Correlation and Regression 7. The t Test for Independent Groups 8. The t Test for Dependent Groups 9. Analysis of Variance (ANOVA): One-Factor Completely Randomized Design 10. After a Significant Analysis of Variance: Multiple Comparison Tests 11. Analysis of Variance (ANOVA): One-Factor Repeated-Measures Design 12. Analysis of Variance: Two-Factor Completely Randomized Design 13. Post Hoc Analysis of Factorial ANOVA 14. Factorial ANOVA: Additional Designs 15. Nonparametric Statistics: The Chi-Square Test 16. Other Statistical Parameters and Tests Appendix A: z Distribution Appendix B: t Distribution Appendix C: Spearman's Correlation Appendix D: The Chi-Square Distribution Appendix E: F Distribution Appendix F: Tukey's Table References Index

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Preface Acknowledgments About the Author 1. A Gentle Introduction 2. Descriptive Statistics: Understanding Distributions of Numbers 3. Statistical Parameters: Measures of Central Tendency and Variation 4. Standard Scores, the Z Distribution, and Hypothesis Testing 5. Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the z Distribution 6. An Introduction to Correlation and Regression 7. The t Test for Independent Groups 8. The t Test for Dependent Groups 9. Analysis of Variance (ANOVA): One-Factor Completely Randomized Design 10. After a Significant Analysis of Variance: Multiple Comparison Tests 11. Analysis of Variance (ANOVA): One-Factor Repeated-Measures Design 12. Analysis of Variance: Two-Factor Completely Randomized Design 13. Post Hoc Analysis of Factorial ANOVA 14. Factorial ANOVA: Additional Designs 15. Nonparametric Statistics: The Chi-Square Test 16. Other Statistical Parameters and Tests Appendix A: z Distribution Appendix B: t Distribution Appendix C: Spearman's Correlation Appendix D: The Chi-Square Distribution Appendix E: F Distribution Appendix F: Tukey's Table References Index

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Available abstract

Preface Acknowledgments About the Author 1. A Gentle Introduction 2. Descriptive Statistics: Understanding Distributions of Numbers 3. Statistical Parameters: Measures of Central Tendency and Variation 4. Standard Scores, the Z Distribution, and Hypothesis Testing 5. Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the z Distribution 6. An Introduction to Correlation and Regression 7. The t Test for Independent Groups 8. The t Test for Dependent Groups 9. Analysis of Variance (ANOVA): One-Factor Completely Randomized Design 10. After a Significant Analysis of Variance: Multiple Comparison Tests 11. Analysis of Variance (ANOVA): One-Factor Repeated-Measures Design 12. Analysis of Variance: Two-Factor Completely Randomized Design 13. Post Hoc Analysis of Factorial ANOVA 14. Factorial ANOVA: Additional Designs 15. Nonparametric Statistics: The Chi-Square Test 16. Other Statistical Parameters and Tests Appendix A: z Distribution Appendix B: t Distribution Appendix C: Spearman's Correlation Appendix D: The Chi-Square Distribution Appendix E: F Distribution Appendix F: Tukey's Table References Index

Key concepts: Statistics, History, Geography, Mathematics

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