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Course Catalog

318.610.01 STATISTICAL ANALYSIS FOR POLICY MAKING I

Department:
Health Policy and Management
Term:
1st term
Credits:
3 credits
Academic Year:
2015 - 2016
Location:
East Baltimore
Class Times:
  • Wednesday,  5:30 - 8:30pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Felicia Roane
Course Instructor:
  • Michael Giandrea

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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 Objectives:

Upon successfully completing this course, students will be able to:

  1. Demonstrate the ability to apply fundamental concepts to data analysis
  2. Describe the basic concepts of probability and random variables
  3. Define the foundations for classical inference involving confidence intervals and hypothesis testing
  4. Apply inferential methods to the means of normal distributions
  5. 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%

Multiterm:

Final grade applies to all terms

Instructor Consent:

Consent required for some students

Consent Note:

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