You are here

Statistics need not be dull and dry! Statistics Alive! presents essential content on statistical analysis in short, digestible modules. Written in a conversational tone with anecdotal stories and light-hearted humor, this text is an enjoyable read. Students are shown the underlying logic to what they're learning, and well-crafted practice and self-check features help ensure that that new knowledge sticks. Coverage of probability theory and mathematical proofs is minimized without sacrificing the rigor of the overall text. Instructors will find Statistics Alive! perfect for use in departments of psychology, counseling, education, and more.  In the Third Edition, new coauthor Matthew Price includes simplified practice problems and increased coverage of conceptual statistics, integrated discussions of effect size with hypothesis testing, and new coverage of ethical practices for conducting research.

Part I. Preliminary Information: “First Things First”
1. Math Review, Vocabulary, and Symbols
2. Measurement Scales
Part II. Tables and Graphs: “On Display”
3. Frequency and Percentile Tables
4. Graphs and Plots
Part III. Central Tendency: “Bull’s-Eye”
5. Mode, Median, and Mean
Part IV. Dispersion: “From Here to Eternity”
6. Range, Variance, and Standard Deviation
Part V. The Normal Curve and Standard Scores: “What’s the Score?”
7. Percent Area and the Normal Curve
8. z Scores
9. Score Transformations and Their Effects
Part VI. Probability: “Odds Are”
10. Probability Definitions and Theorems
11. The Binomial Distribution
Part VII. Inferential Theory: “Of Truth and Relativity”
12. Sampling, Variables, and Hypotheses
13. Errors and Significance
14. The z Score as a Hypothesis Test
Part VIII. The One-Sample Test: “Are They From Our Part of Town?”
15. Standard Error of the Mean
16. Normal Deviate Z Test
17. One-Sample t Test
18. Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter Estimates
Part IX. The Two-Sample Test: “Ours Is Better Than Yours”
19. Standard Error of the Difference Between the Means
20. t Test With Independent Samples and Equal Sample Sizes
21. t Test With Unequal Sample Sizes
22. t Test With Related Samples
23. Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter Estimates
Part X. The Multisample Test: “Ours Is Better Than Yours or Theirs”
24. ANOVA Logic: Sums of Squares, Partitioning, and Mean Squares
25. One-Way ANOVA: Independent Samples and Equal Sample Sizes
Part XI. Post Hoc Tests: “So Who’s Responsible?”
26. Tukey HSD Test
27. Scheffé Test
Part XII. More Than One Independent Variable: “Double Dutch Jump Rope”
28. Main Effects and Interaction Effects
29. Factorial ANOVA
Part XIII. Nonparametric Statistics: “Without Form or Void”
30. One-Variable Chi-Square: Goodness of Fit
31. Two-Variable Chi-Square: Test of Independence
Part XIV. Effect Size and Power: “How Much Is Enough?”
32. Measures of Effect Size
33. Power and the Factors Affecting It
Part XV. Correlation: “Whither Thou Goest, I Will Go”
34. Relationship Strength and Direction
35. Pearson r
36. Correlation Pitfalls
Part XVI. Linear Prediction: “You’re So Predictable”
37. Linear Prediction
38. Standard Error of Prediction
39. Introduction to Multiple Regression
Part XVII. Review: “Say It Again, Sam”
40. Selecting the Appropriate Analysis

Preview this book

For instructors

Select a Purchasing Option

ISBN: 9781544328263