STATISTICAL ANALYSIS FOR POLICY MAKING I Syllabus
Course Learning Objectives
After completing this course, you should 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
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.
Students enrolled in the MPP program
Methods of Assessment
Grading Policy: Problem sets (20%); take-home midterm (20%); two in-class quizzes (10% each) and final exam (40%
Grading Restrictions: Letter grade
Academic Ethics Code
The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support Services
If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services: email@example.com, 410-955-3034, or 2017 E. Monument Street.