Dr. Laurie Graham Dodge earned her Ph.D. in school psychology with cognates in statistics, research, and human development. Since 1987, she has taught at Chapman University, where she is chair of the psychology department. Statistics run in her family. Her father taught statistics at Temple University, and her three children (all of whom are in college) report that they love statistics (to humor her, perhaps).

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• Introduction 1. To Know Statistics Is to Love Statistics 12. The Picture of Data 3. The Road to Mediocrity: The 3 Ms 4. Percentile Ranks: Where Am I in the Pile? 5. Percentiles and Quartiles: Getting the Big Picture 6. The Standard Deviation: How Deviant Am I? 7. Standard Scores: The Story of z and Its Cousins 8. Bellville: Living in the Bell-Shaped Community 9. From Here to There: Probability, Hypothesis Testing, and Sampling 10. Correlation: Are We Related? 11. Relationships and Differences: Effect Size and Practical Significance 12. Expected vs. Observed: Chi-Square 13. Getting Ready for the t Party: Standard Error of the Mean 14. Two for Tea and t for Two: t Test for Independent Groups 15. Another t Party: t Test for Dependent Means 16. It's My Way or the Highway: Introduction to ANOVA 17. Putting the Pieces Together: An Introduction to Meta-Analysis, Appendices.

Dr. Laurie Graham Dodge earned her Ph.D. in school psychology with cognates in statistics, research, and human development. Since 1987, she has taught at Chapman University, where she is chair of the psychology department. Statistics run in her family. Her father taught statistics at Temple University, and her three children (all of whom are in college) report that they love statistics (to humor her, perhaps).

Select Guide Rating

• Introduction 1. To Know Statistics Is to Love Statistics 12. The Picture of Data 3. The Road to Mediocrity: The 3 Ms 4. Percentile Ranks: Where Am I in the Pile? 5. Percentiles and Quartiles: Getting the Big Picture 6. The Standard Deviation: How Deviant Am I? 7. Standard Scores: The Story of z and Its Cousins 8. Bellville: Living in the Bell-Shaped Community 9. From Here to There: Probability, Hypothesis Testing, and Sampling 10. Correlation: Are We Related? 11. Relationships and Differences: Effect Size and Practical Significance 12. Expected vs. Observed: Chi-Square 13. Getting Ready for the t Party: Standard Error of the Mean 14. Two for Tea and t for Two: t Test for Independent Groups 15. Another t Party: t Test for Dependent Means 16. It's My Way or the Highway: Introduction to ANOVA 17. Putting the Pieces Together: An Introduction to Meta-Analysis, Appendices.