Packed with fresh and practical examples appropriate for a range of degree-seeking students, this easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test.

"Making everything easier!"--Cover. Includes index.

Tackling data analysis and model-building basics -- Using different types of regression to make predictions -- Analyzing variance with ANOVA -- Building strong connections with chi-square tests -- Nonparametric statistics: rebels without a distribution -- The part of tens -- Appendix: Reference tables.