This beautifully written text makes statistics accessible to students through the use of integrated narratives and wide-ranging examples. A refreshing text that emphasizes the link between research design and statistical analysis, it also promotes graphic literacy, and offers guidelines on how to report results.

Table of Contents

An Introduction to Statistics and Research Design: The Basic Elements of Statistical Reasoning Descriptive Statistics: Organizing, Summarizing, and Graphing Individual Variables Visual Displays of Data: Graphs That Tell a Story Probabilities and Research: The Risks and Rewards of Scientific Sampling Correlation: Quantifying the Relation Between Two Variables Regression: Tools for Predicting Behavior Inferential Statistics: The Surprising Story of the Normal Curve Hypothesis Testing with z Tests: Making Meaningful Comparisons Hypothesis Testing with t Tests: Comparing Two Groups Hypothesis Testing with One-Way ANOVA: Comparing Three or More Groups Two-Way ANOVA: Understanding Interactions Beyond Hypothesis Testing: Confidence Intervals, Effect Size, and Power Chi Square: Expectations Versus Observations Beyond Chi Square: Nonparametric Tests with Ordinal Data Choosing a Statistical Test and Reporting the Results: The Process of Statistics Appendix A: Reference for Basic Mathematics Appendix B: Statistical Tables Appendix C: Answers to Odd-Numbered End-of-Chapter Problems Appendix D: Answers to Check-Your-Learning Problems Glossary References Index

Author Biography

SUSAN A. NOLAN is Associate Dean of Graduate Studies for the College of Arts and Sciences, as well as an Associate Professor of Psychology, at Seton Hall University, New Jersey, USA. She has served as a statistical consultant to researchers at several universities, medical schools, corporations, and non-governmental organizations. THOMAS E. HEINZEN is based at William Paterson State University, New Jersey, USA.