Student Study Guide to Accompany Statistics Alive! / Wendy J. Steinberg Matthew Price & Zoe Brier.

This affordable student study guide and workbook to accompany Wendy J. Steinberg and Matthew Price’s Statistics Alive!, Third Edition, helps students get the added review and practice they need to improve their skills and master their Introduction to Statistics course.

TABLE OF CONTENTS Module 1. Math Review, Vocabulary, and Symbols Module 2. Measurement Scales Module 3. Frequency and Percentile Tables Module 4. Graphs and Plots Module 5. Mode, Median, and Mean Module 6. Range, Variance, and Standard Deviation Module 7. Percent Area and the Normal Curve Module 8. z Scores Module 9. Score Transformations and Their Effects Module 10. Probability Definitions and Theorems Module 11. The Binomial Distribution Module 12. Sampling, Variables, and Hypotheses Module 13. Errors and Significance Module 14. The z Score as a Hypothesis Test Module 15. Standard Error of the Mean Module 16. Normal Deviate Z Test Module 17. One-Sample t Test Module 18. Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter Estimates Module 19. Standard Error of the Difference Between the Means Module 20. t Test With Independent Samples and Equal Sample Sizes Module 21. t Test With Unequal Sample Sizes Module 22. t Test With Related Samples Module 23. Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter Estimates Module 24. ANOVA Logic: Sums of Squares, Partitioning, and Mean Squares Module 25. One-Way ANOVA: Independent Samples and Equal Sample Sizes Module 26. Tukey HSD Test Module 27. Scheffé Test Module 28. Main Effects and Interaction Effects Module 29. Factorial ANOVA Module 30. One-Variable Chi-Square: Goodness of Fit Module 31. Two-Variable Chi-Square: Test of Independence Module 32. Measures of Effect Size Module 33. Power and the Factors Affecting It Module 34. Relationship Strength and Direction Module 35. Pearson r Module 36. Correlation Pitfalls Module 37. Linear Prediction Module 38. Standard Error of Prediction Module 39. Introduction to Multiple Regression Module 40. Selecting the Appropriate Analysis

Key features
NEW TO THIS EDITION:

The study guide has been updated to match the changes in the main text. This includes:
reducing and simplifying problems related to linear regression;
updating examples and data in the problems themselves;
adding problems on box plots; and
simplifying hand calculation problems with more problems focusing on underlying understanding and concepts of statistics.
KEY FEATURES:

Each module includes:

the learning objectives and a summary of the matching module in the main text;

computational exercises focusing on equations and calculations;
true or false questions focusing on core concepts;
short answer questions focusing on in-depth concepts; and
multiple choice questions at a variety of levels.
Module quizzes mimic chapter tests to offer students practice for exams.