Gregory J. Privitera is a professor of psychology at St. Bonaventure University where he is a recipient of its highest teaching honor, The Award for Professional Excellence in Teaching, and its highest honor for scholarship, The Award for Professional Excellence in Research and Publication. Dr. Privitera received his PhD in behavioral neuroscience in the field of psychology at the State University of New York at Buffalo and continued with his postdoctoral research at Arizona State University. He is a nationally award-winning author and research scholar. His textbooks span across diverse topics in psychology and the behavioral sciences, including an introductory psychology text, four statistics texts, two research methods texts, and multiple other texts bridging knowledge creation across health, health care, and analytics. In addition, Dr. Privitera has authored more than three dozen peer-reviewed papers aimed at advancing our understanding of health and informing policy in health care. His research has earned recognition by the American Psychological Association, and in media to include Oprah's Magazine, Time Magazine, and the Wall Street Journal. He mentors a variety of undergraduate research projects at St. Bonaventure University, where dozens of students, many of whom have gone on to earn graduate and doctoral degrees at various institutions, have coauthored and presented research work. In addition to his teaching, research, and advisement, Dr. Privitera is a veteran of the U.S. Marine Corps, is an identical twin, and is married with two daughters, Grace Ann and Charlotte Jane, and two sons, Aiden Andrew and Luca James.
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Description
Part I. Introduction and Descriptive Statistics Introduction to Statistics Summarizing Data: Frequency Distributions in Tables and Graphs Summarizing Data: Central Tendency Summarizing Data: Variability Part II. Probability and the Foundations of Inferential Statistics Probability Probability, Normal Distributions, and z Scores Probability and Sampling Distributions Part III. Making Inferences About One or Two Means Hypothesis Testing: Significance, Effect Size, and Power Testing Means: One-Sample and Two-Independent-Sample t Tests Testing Means: The Related-Samples t Test Estimation and Confidence Intervals Part IV. Making Inferences About the Variability of Two or More Means Analysis of Variance: One-Way Between-Subjects Design Analysis of Variance: One-Way Within-Subjects (Repeated-Measures) Design Analysis of Variance: Two-Way Between-Subjects Factorial Design Part V. Making Inferences About Patterns, Frequencies, and Ordinal Data Correlation Linear Regression and Multiple Regression Nonparametric Tests: Chi-Square Tests Nonparametric Tests: Tests for Ordinal Data