Statistical Methods & Analysis Public Policy II
Session
Regular Academic Session
Class Number
1659
Career
Graduate
Units
3 units
Grading
Graded
Description
Prerequisite: MPP 405.

This class develops the multiple linear regression model and extensions of it that are commonly used in the study of public policy. We investigate the relationships between the type of data available and the quantitative models to use, including logistic analysis and use of simultaneous equations.

Outcomes: Students will learn to use the tools necessary to understand, critique, and conduct advanced statistics.
Add Consent
Department Consent Required
Class Notes
Synchronous Class Meeting: Instruction will be delivered online synchronously following the days/times indicated on the schedule.
Class Actions
Class Details
Instructor(s)
Jing Wang
Meets
Mo 7:00PM - 9:30PM
Dates
01/13/2025 - 04/26/2025
Room
Online
Instruction Mode
Online
Campus
Online Campus
Location
Online Campus
Components
Seminar Required
Class Availability
Status
Open
Seats Taken
6
Seats Open
9
Class Capacity
15
Wait List Total
0
Wait List Capacity
0