MPAD.5040 Data Analysis

Description

This course provides students with a basic introduction to the use of quantitative methods in policy research. It is very much designed as a course in applied statistics, covering common topics such as types of variables and data, probability theory, hypothesis testing, measures of central tendency and variance, as well as tools for examining basic relationships between two variables: contingency tables, correlation and bivariate regression. Weekly homework assignments ask students to work with actual data and develop skills for quickly analyzing data, reporting the results, and using their conclusions to inform decision-making.

Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.