EDFN 4315 - Applied Statistics for Practitioners

Three credit hours.

Introduction to descriptive and inferential statistics commonly used in research in education and the health professions for the purpose of data-driven decision-making to improve evidence-based practice. Topics include commonly used descriptive statistics, inferential reasoning, hypothesis testing, and parametric and nonparametric procedures and their assumptions including ANOVA models and linear regression. Emphasis is on understanding the logical bases of statistical tests of significance and understanding analysis sections of empirical reports.