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.
- 1.00 Credits
- EDP
Sections
Advanced Statistics I - 2021 Spring EDP 850
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.
Course Code: EDP 850
1/25/2021 - 5/16/2021
Face to Face
Main Campus
Advanced Statistics I - 2021 Summer EDP 850
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.
Course Code: EDP 850
5/17/2021 - 8/15/2021
Face to Face
Break 6/28-7/4
Main Campus