Viva La Difference in Statistics consists of 12 chapters covering descriptive and inferential statistics in an introductory, one-semester statistics course. Chapters range in length from 4 to 14 pages. A persistent challenge for introductory students is staying anchored to the meaningfulness of the content as the content becomes more complex. To meet this challenge, the writing strives for clarity and accessibility, and pedagogical supports for learning are infused throughout the book.
Two glossaries of all symbols and their meanings and all formulas in order of appearance in the book are located before Chapter 1. Chapter 1 is a review of arithmetic and algebra required by the course and concludes with a diagnostic assessment that students and instructors can use for strengthening computational skills. Exercises and sample problems from a variety of disciplines are located in and at the end of each chapter. The answers, including both written and computational explanations, to all end-of-the-chapter problems appear at the end of the book. Critical thinking questions and their answers are embedded in all chapters as self-assessments to maximize productivity of study time. A positive “can do” tone and the book’s title reflects statistics being understandable and useful.
For all instructors including those using problem-based learning, one end-of-chapter problem for each of the inferential statistics chapters is a “Researcher Problem” where students analyze the data and interpret the results in the context of a hypothesis or question. These Researcher Problems include the data set in case the instructor wants students to use statistical software to complement the computational work. Sample homework assignments for selected chapters conclude the book.
Preface to the Third Edition
Symbols
Formulas
Chapter 1 Introduction and Review of Arithmetic and Algebra
Chapter 2 Measurement and Vocabulary
Chapter 3 The Distribution: Finding Its Center and Eyeballing Its Shape
Chapter 4 Measuring the Cluster or Spread of the Data
Chapter 5 Locating the Data
Chapter 6 Probability
Chapter 7 The z Test
Chapter 8 The One-Sample t Test
Chapter 9 The Two-Sample t Test for Independent Samples
Chapter 10 The One-Way Analysis of Variance
Chapter 11 The Dance of Correlation and Linear Regression
Chapter 12 The Chi-Square Test
References
Answers
Assignments