This course provides an introduction to
probability and
statistics with emphasis on topics that are central to the study of
econometrics. We will begin with descriptive statistics, probability
distributions and expected values. We will learn how to make
statistical
inferences and tests of significance. At the end of the semester we
will study
classical models of bivariate and multivariate regressions. This will
allow us
to test various economic theories about how the world works. The aim is
to
provide you with sufficient knowledge of statistical and econometric
theory to
make you an effective consumer of empirical research in the social
sciences.
The main textbook for the course is Anderson, Sweeney, & Williams, Essentials of Statistics for Business
and Economics, 4th edition,
South-Western, 2006. This
textbook is required and available at Huntley Bookstore along with an
optional workbook.
If any material is ever unclear, or even if everything is perfectly clear, please come chat with me about statistics, economics or anything for that matter. If you have a short question, please feel free to call me. For longer and better explanations, come by my office during office hours or make an appointment to see me at your convenience. I can be reached at the following:
Office: Fletcher 216
Office Hours: Mondays 3:30-5:00pm, Wednesdays 8:30-10:00am, and by appointment
Phone: 607-3769
Email lyamane@pitzer.edu.
Descriptive
Statistics: Tabular and Graphical Presentations
Ch
2
Descriptive
Statistics: Numerical Measures
Ch
3
Introduction
to Probability
Ch
4
Discrete
Probability Distributions
Ch
5
Continuous
Probability Distributions
Ch
6
Sampling
and Sampling Distributions
Ch
7
Interval
Estimation
Ch
8
Hypothesis
Tests
Ch
9
Comparisons
Involving Means
Ch
10
Comparisons
Involving Proportions
Ch
11
Simple
Linear Regression
Ch
12
Multiple
Regression
Ch
13
Problem Set #1 Due Thursday 7 February
Problem
Set #2
Due Thursday 21 February Keno
Problem Set
#3 Due Thursday 13 March
Problem
Set #4 Due Thursday 3 April
Problem Set #5 Due Thursday 1 May