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Course Catalog

318.610.01 STATISTICAL ANALYSIS FOR POLICY MAKING I

Term: 1st term
Credits: 3 credits
Contact: Felicia Roane
Academic Year: 2014 - 2015
Course Instructor:
  • Michael Giandrea
Description:

Introduces the basic concepts and methods of statistics as applied to public policy analysis. Demonstrates methods of exploring, organizing and presenting data, and introduces measures of central tendencies, correlation, analysis of variance, and multivariate analysis. Introduces and employs the statistical package STATA, as well as Microsoft Excel to manipulate data and prepare students for the remaining course work in the sequence.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Demonstrate the ability to apply fundamental concepts to data analysis
Describe the basic concepts of probability and random variables
Define the foundations for classical inference involving confidence intervals and hypothesis testing
Apply inferential methods to the means of normal distributions
Apply and interpret basic summary and modeling techniques for data

Methods of Assessment: Problem sets (20%); take-home midterm (20%); two in-class quizzes (10% each) and final exam (40%
Location: East Baltimore
Class Times:
  • Wednesday 5:30 - 8:30
Final grade applies to all terms
Enrollment Minimum: 10
Instructor Consent: Consent required for some students

Students enrolled in programs other then the MPP must obtain permission from the department prior to registering for this course.

For consent, contact: froane@jhsph.edu
Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail