Statistics in Plain English offers exactly what its title promises—a clear, conversational, and highly accessible introduction to statistics. Designed for readers with little to no statistical background, the book breaks down complex concepts into simple, easy-to-understand explanations.

Each chapter begins with a concise overview of a specific statistical concept, explaining what it does and when it should be used. This is followed by a step-by-step walkthrough that demonstrates how the statistic works and what insights it provides. To reinforce understanding, the book includes real-world research examples, “Worked Examples,” and dedicated “Writing It Up” sections that show readers how to effectively present statistical findings. Chapters also conclude with summaries and practice problems to strengthen learning.

This updated edition introduces several important enhancements. A new chapter on person-centered analyses—including cluster analysis and latent class analysis (LCA)—offers a valuable alternative to traditional variable-centered methods such as t-tests, ANOVA, and regression. The section on nonparametric statistics has also been expanded, providing detailed explanations of key methods like Mann–Whitney U, Kruskal–Wallis, and Wilcoxon Signed-Rank tests, along with the Chi-square statistic.

Additionally, the book places greater emphasis on understanding statistical assumptions and the consequences of violating them, particularly in regression analysis. Expanded coverage of the normal distribution and numerous real-world examples further help readers build practical, applicable knowledge.

Ideal for beginners, students, and professionals alike, Statistics in Plain English works both as a standalone guide and as a companion to more advanced textbooks. It covers a broad range of topics—from descriptive statistics to factor analysis and modern analytical techniques—making it an essential resource for anyone looking to understand statistics with clarity and confidence.

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