Student Study Guide to Accompany Statistics Alive!

Wendy J. Steinberg entered academia midcareer, having spent the first part of her career in high-stakes test development. She holds a PhD in educational psychology with dual concentrations, one in measurement and the other in development and cognition. Teaching is her passion. She views education as a sacred task that teachers and students alike should treat with reverence. She wants this textbook in the hands of every statistics student so that tears will be banished forever from the classroom. A portion of the sale of each textbook goes to charityMatthew Price holds a PhD in clinical psychology and has spent his career pursuing two goals. The first is helping victims of trauma and the second is teaching statistics. From his time in undergraduate statistics, he saw the challenge that this topic posed to many talented students.  He has since spent many late nights making heads or tails out of how to teach the probability of heads and tails in an approachable and enjoyable manner. He is honored to assist in writing this textbook to continue to help all of those students who have yet to discover the awesomeness of stats. Zoe Brier is a clinical psychology doctoral student at the University of Vermont.

• Module 1. Math Review, Vocabulary, and SymbolsModule 2. Measurement ScalesModule 3. Frequency and Percentile TablesModule 4. Graphs and PlotsModule 5. Mode, Median, and MeanModule 6. Range, Variance, and Standard DeviationModule 7. Percent Area and the Normal CurveModule 8. z ScoresModule 9. Score Transformations and Their EffectsModule 10. Probability Definitions and TheoremsModule 11. The Binomial DistributionModule 12. Sampling, Variables, and HypothesesModule 13. Errors and SignificanceModule 14. The z Score as a Hypothesis TestModule 15. Standard Error of the MeanModule 16. Normal Deviate Z TestModule 17. One-Sample t TestModule 18. Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter EstimatesModule 19. Standard Error of the Difference Between the MeansModule 20. t Test With Independent Samples and Equal Sample SizesModule 21. t Test With Unequal Sample SizesModule 22. t Test With Related SamplesModule 23. Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter EstimatesModule 24. ANOVA Logic: Sums of Squares, Partitioning, and Mean SquaresModule 25. One-Way ANOVA: Independent Samples and Equal Sample SizesModule 26. Tukey HSD TestModule 27. Scheffé TestModule 28. Main Effects and Interaction EffectsModule 29. Factorial ANOVAModule 30. One-Variable Chi-Square: Goodness of FitModule 31. Two-Variable Chi-Square: Test of IndependenceModule 32. Measures of Effect SizeModule 33. Power and the Factors Affecting ItModule 34. Relationship Strength and DirectionModule 35. Pearson rModule 36. Correlation PitfallsModule 37. Linear PredictionModule 38. Standard Error of PredictionModule 39. Introduction to Multiple RegressionModule 40. Selecting the Appropriate Analysis