| |
Apr 18, 2024
|
|
|
|
|
ODL-613 Practical Statistics, Methods and Measures for Organizational Development4 semester credits
This course stresses the practical use of statistics in the collection, organization, analysis, interpretation, and presentation of data. Both descriptive and inferential techniques are covered. In this course, we will: (1) discuss descriptive statistics; (2) cover various aspects of inferential statistics such as hypothesis testing and regression; and (3) relate these tools back to the practical world. The course will also show you how to design and use measures for project and general applications. You won’t become a statistician in this course. Our goal is to develop you into a wise manager and user of statistical data.
Pre-requisites: ODL-669 , ODL-670 or ODL-671
Delivery Method: Online
Grading Default: Letter
Learning Outcome(s):
Students will be able to:
- Gain a working knowledge of descriptive statistics such as the mean, mode, median, standard deviation, standardized z-scores, etc.
- Gain a working knowledge of hypothesis testing (z, t and F) along with the appropriateness and use of each.
- Gain a working knowledge of simple and multiple regression, along with the ability to interpret the results for ODL related issues and problems.
- Understand the basics of the Balanced Scorecard and project related outcome measures including how to construct them.
- Learn what confidence intervals are and apply them in determining an appropriate sample six for collecting data.
- Evaluate a managerial problem, calculate and interpret numerical summaries appropriate for the situation. Use graphs and numerical summaries as aids in determining a course of action relative to the problem.
- Develop measures of a meaningful nature for application in both qualitative and quantitative situations and apply them strategically within an organization.
Add to Catalog (opens a new window)
|
|
