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QUANTITATIVE ANALYSIS
Instructor: Michael Busse
Busse340301@aol.com
TA session: Monday: 7-9
______________________________________________________________________________
This course introduces students to
quantitative analysis with special application to issues of public policy. We will
begin with definitions of basic statistical terms and finish with an
introduction to linear regression. Though this class will require some math, it
will also emphasize interpreting results and understanding how the techniques
we study apply to policy analysis.
. A problem set will be assigned for nearly every
class, and will be due at the beginning of the following class. When possible, students are persuaded when
possible to work together on problem sets. Doing the problem sets and applying
what we learn to every day materials such as the Washington Post, the
Economist, etc will be more useful than studying the text if your time is
short.
Evaluation in the course will be based on problem sets, a midterm, a final exam, and classroom participation. Exams will include only topics covered in class or on problem sets. The book has additional information and is a good backup.
Class Participation 10%
Problem Sets 30%
Midterm 25%
Final 35%
TOPICS AND
Date Topic
1. Jan 24 Introduction
+Summary Statistics
Experimental
Design
2. Jan 31 Probability
& Bayes Rule
3. Feb 7 Probability
& Bayes Rule +Sampling
4. Feb 14 Probability
Distributions:Binomeal
5. Feb 21 Sampling:
Central Limit Theorem
6. Feb 28 Estimation
and Confidence Intervals
7.
Mar 7 Hypothesis
Testing
8. Mar 14 Midterm
9. Mar 28 Population
Proportions
10. Apr 4 Simple
Liner Regression
11. Apr 11 Simple
Linear Regression
12. Apr 18
Multiple Regression
13. Apr
14. May 2 Logit
and Probit
15. May 9 Final Presentations
May 12-18 Final
Examination