Fundamental Statistics for the Social, Behavioral, and Health Sciences presents students with 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 coverage of foundational concepts in descriptive statistics, including frequency distribution, central tendency, and variability. Additional chapters guide students through their first journey into inferential statistics.
The book is highly accessible, features clear examples and graphs, and challenges students to apply what they learn to a variety of situations. It includes step-by-step instructions on using IBM SPSS Statistics.
The second edition includes a new chapter on Chi-Square statistics. Additionally, information and examples throughout the text have been updated.
Fundamental Statistics for the Social, Behavioral, and Health Sciences is an ideal resource for foundational courses in statistics.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Miguel A. Padilla holds a Ph.D. in research and evaluation methodology from the University of Florida, Gainesville, and completed a postdoctoral fellowship in biostatistics at the University of Alabama at Birmingham. He is an associate professor of health and quantitative psychology and a faculty member in both the Department of Psychology and the Department of Mathematics and Statistics at Old Dominion University. Dr. Padilla has presented research at numerous professional conferences and has published extensively in various journals, including Educational and Psychological Measurement, Journal of Modern Applied Statistical Methods, and Applied Psychological Measurement.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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