MN3040 Data Management and Statistics for Manpower Analysis

MN3040 introduces students to basic concepts and procedures in descriptive and inferential statistics and prepares them for subsequent statistical courses in Multivariate Data Analysis (MN4110 and MN4111), Applied Manpower modeling (MN4761), and beyond. This course bridges the gap between theoretical concepts and applied work in statistics in the context of answering manpower related policy questions. The course introduces probability theory as a background for understanding inferential statistics. It then covers statistical distributions and methods for deriving, describing, and summarizing single-variable statistics. Finally, methods are presented for drawing inferences from research samples to populations, including hypothesis testing and confidence intervals.

Prerequisites: None.

Lecture Hours

4

Lab Hours

0

Course Learning Outcomes

Core concepts in probability and statistics used for decision-making:

• How to interpret and scrutinize commonly reported statistics.

• How to provide basic descriptive findings about a new dataset.

• Ways to assess the relationship between two variables.