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THERE'S A STAT FOR THAT!: What to Do & When to Do it
Bruce B. Frey, The University of Kansas
Bruce B. Frey's There's a Stat for That! is a brief, straightforward, and accessible guide to deciding when and how to
use the correct statistical technique. Designed for consultants, researchers, students, and those who already have the
resources to help them actually do the statistics, this text explains why a particular statistical approach is the right one
to use.
CONTENTS FREQUENCY ANALYSIS / Module 1. binomial test / Module 2. chi-squared / Module 3. Kolmogorov-Smirnov test / Module 4. single
sample t test / Module 5. Fisher exact test / Module 6. two-way chi-squared / GROUP COMPARISONS / Module 7. Mann-Whitney test / Module
8. independent t test / Module 9. median test / Module 10. Kruskal-Wallis test / Module 11. analysis of variance / Module 12. two-way analysis
of variance / Module 13. analysis of covariance / Module 14. multivariate analysis of variance / REPEATED MEASURES ANALYSES / Module 15.
McNemar change test / Module 16. Wilcoxon signed ranks test / Module 17. paired samples t test / Module 18. Cochran Q test / Module 19.
Friedman test / Module 20. repeated measures analysis of variance / Module 21. two-way repeated measures / Module 22. mixed analysis of
variance / Module 23. time series analysis / CORRELATIONAL ANALYSES / Module 24. Kappa coefficient of agreement / Module 25. Spearman
correlation coefficient / Module 26. phi correlation coefficient / Module 27. Cramér's V coefficient / Module 28. simple logistic regression /
Module 29. multiple logistic regression / Module 30. discriminant analysis / Module 31. Pearson correlation coefficient / Module 32. simple
linear regression / Module 33. multiple linear regression / Module 34. canonical correlation / Module 35. exploratory factor analysis / Module
36. confirmatory factor analysis / Module 37. cluster analysis / Module 38. path analysis / Module 39. structural equation modeling / Module 40.
hierarchical linear modeling
PAPERBACK ISBN: 978-1-4833-1875-2 • ©2016 • 120 PAGES •
100 QUESTIONS (AND ANSWERS) ABOUT STATISTICS
Neil J. Salkind, The University of Kansas
This invaluable guide answers the essential questions that students ask about statistics in a concise and accessible
way. It's perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or a
desk reference with quick answers to the most frequently asked questions.
CONTENTS PART I: WHY STATISTICS? / PART II: UNDERSTANDING MEASURES OF CENTRAL TENDENCY / PART III: UNDERSTANDING MEASURES
OF VARIABILITY / PART IV: ILLUSTRATING DATA / PART V: UNDERSTANDING RELATIONSHIPS / PART VI: UNDERSTANDING MEASUREMENT AND
ITS IMPORTANCE / PART VII: UNDERSTANDING THE ROLE OF HYPOTHESIS IN STATISTICS / PART VIII: UNDERSTANDING THE NORMAL CURVE AND
PROBABILITY / PART IX: UNDERSTANDING THE CONCEPT OF SIGNIFICANCE / PART X: UNDERSTANDING DIFFERENCES BETWEEN GROUPS / PART XI:
LOOKING AT RELATIONSHIPS BETWEEN VARIABLES / PART XII: OTHER STATISTICAL PROCEDURES
PAPERBACK ISBN: 978-1-4522-8338-8 • ©2015 • 232 PAGES •
SEE PAGE 17 FOR MORE INFORMATION ON TITLES IN THIS SERIES.
UPDATED EDITION OF BEST SELLER
THE TAO OF STATISTICS: A Path to Understanding (With No Math) SECOND EDITION
Dana K. Keller, Halcyon Research, Inc.
This Second Edition provides a reader-friendly approach to statistics in plain English. Unlike other statistics books, this
text explains what statistics mean and how they are used, rather than how to calculate them. The book walks readers
through basic concepts as well as some of the most complex statistical models in use.
CONTENTS 1. The Beginning - The Question / 2. Ambiguity - Statistics / 3. Fodder - Data / 4. Data - Measurement / 5. Data Structure - Levels
of Measurement / 6. Simplifying - Groups and Clusters / 7. Counts - Frequencies / 8. Pictures - Graphs / 9. Scatterings - Distributions / 10.
Bell-Shaped - The Normal Curve / 11. Lopsidedness - Skewness / 12. Averages - Central Tendencies / 13. Two Types - Descriptive and Inferential
/ 14. Foundations - Assumptions / 15. Murkiness - Missing Data / 16. Leeway - Robustness / 17. Consistency - Reliability / 18. Truth - Validity
/ 19. Unpredictability - Randomness / 20. Representativeness - Samples / 21. Mistakes - Error / 22. Real or Not - Outliers / 23. Impediments -
Confounds / 24. Nuisances - Covariates / 25. Background - Independent Variables / 26. Targets - Dependent Variables / 27. Inequality - Standard
Deviations and Variance / 28. Prove - No, Falsify / 29. No Difference - The Null Hypothesis / 30. Reductionism - Models / 31. Risk - Probability /
32. Uncertainty - p Values / 33. Expectations - Chi-Square / 34. Importance vs. Difference - Substantive vs. Statistical Significance / 35. Strength -
Power / 36. Impact - Effect Sizes / 37. Likely Range - Confidence Intervals / 38. Association - Correlation / 39. Predictions - Multiple Regressions /
40. Abundance - Multivariate Analysis / 41. Differences - t Tests and Analysis of Variance / 42. Differences that Matter - Discriminant Analysis / 43.
Both Sides Loaded - Canonical Covariance Analysis / 44. Nesting - Hierarchical Models / 45. Cohesion - Factor Analysis / 46. Ordered Events - Path
Analysis / 47. Digging Deeper - Structural Equation Models / 48. Abundance - Big Data / 49. Scarcity - Small Data / 50. Fiddling - Modifications
and New Techniques / 51. Epilogue
PAPERBACK ISBN: 978-1-4833-7792-6 • ©2016 • 192 PAGES •
HOW MANY SUBJECTS?: Statistical Power Analysis in Research SECOND EDITION
Helena Chmura Kraemer, Stanford University • Christine Blasey, Palo Alto University
With increased emphasis on helping readers understand the context in which power calculations are done, the Second
Edition introduces a simple technique of statistical power analysis that allows researchers to compute approximate
sample sizes and power for a wide range of research designs.
CONTENTS / 1. The Rules of the Game / 2. General Concepts / 3. The Pivotal Case: Interclass Correlation / 4. Equality of Means: Z- and T-Test,
Balanced ANOVA / 5. Correlation Coefficients / 6. Linear Regression Analysis / 7. Homogeneity of Variance Tests / 8. Binomial Tests / 9. Contingency
Table Analysis / 10. Wrap-Up
PAPERBACK ISBN: 978-1-4833-1954-4 • ©2016 • 160 PAGES •
