Fundamental Statistics for the Social, Behavioral, and Health Sciences presents instructional material in a clear, concise way and features exercises that get students thinking about how to use statistics in applied settings.

The text opens with an introduction to descriptive statistics which covers frequency distribution, central tendency, and variability. The chapters that follow take students through an introductory journey into inferential statistics.

While many standard texts in the discipline overload students with information, Fundamental Statistics for the Social, Behavioral, and Health Sciences strategically presents information that is enhanced with clear examples and graphs. Rather than relying on memorized examples, students learn to apply what they learn to a variety of situations. The book includes step-by-step instructions on using IBM's Statistical Package for Social Sciences, so there is no need to purchase a separate text to master it.

Miguel A. Padilla earned his Ph.D. in research and evaluation methodology at the University of Florida, Gainesville and completed a postdoctoral fellowship in biostatistics at the University of Alabama at Birmingham. Dr. Padilla is an associate professor of quantitative psychology and faculty member in the Department of Psychology and the Department of Mathematics and Statistics at Old Dominion University. He has presented his research at numerous professional conferences and publishes extensively in various journals with work appearing in Educational and Psychological Measurement, the Journal of Modern Applied Statistical Methods, Violence Against Women, and Psychology of Women Quarterly.