Course Details

EDP 850 Overview

This advanced course in statistics builds on students' prior knowledge of and experience with data analysis techniques. Specifically, this course assumes that students have a basic understanding and working knowledge of foundational statistical concepts such as descriptive versus inferential statistics; the unit normal distribution; students t-distribution; the F distribution; measures of central tendency and dispersion; correlation and prediction; basics of hypothesis testing; specific techniques for testing inferences about single means, pairs of mean (i.e., t-tests for single means, independent, and dependent pairs of means), and three or more means (i.e., one-way ANOVA). This course is designed to provide students with data analysis techniques for more complex research designs commonly associated with quantitative dissertations.