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The Second Edition takes a unique, active approach to teaching and learning introductory statistics that allows students to discover and correct their misunderstandings as chapters progress rather than at their conclusion. Empirically-developed, self-correcting activities reinforce and expand on fundamental concepts, targeting and holding students’ attention. Based on contemporary memory research, this learner-centered approach leads to better long-term retention through active engagement while generating explanations. Along with carefully placed reading questions, this edition includes learning objectives, realistic research scenarios, practice problems, self-test questions, problem sets, and practice tests to help students become more confident in their ability to perform statistics.
Introduction to Statistics and Frequency Distributions
Central Tendency
Variability
z Scores
The Distribution of Sample Means and z for a Sample Mean
Hypothesis Testing With z Scores
Single-Sample t Test
Estimation With Confidence Intervals
Related Samples t Test
Independent Samples t Test
One-Way Independent Samples ANOVA
Two-Factor ANOVA or Two-Way ANOVA
Correlation and Regression
Goodness of Fit and Independence Chi-Square Statistics
Appendices