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 Fall 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
9/27/2021 - 12/19/2021
Face to Face
Main Campus
Advanced Statistics I - 2021 Fall 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
11/6/2021 - 11/6/2021
S 8:00 AM - 2:00 PM
Face to Face
Main Campus
Advanced Statistics I - 2022 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
1/24/2022 - 2/20/2022
M 12:00 AM - 11:59 PM
Online
Advanced Statistics I - 2022 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
7/4/2022 - 7/31/2022
M 12:00 AM - 11:59 PM
Online