Statistics Applied to Economics I Instructor: Noel Brodsky

Economics 3971 Office:
2831 (215D) Coleman Hall

Fall 2014 Phone:
(910) 688 3788

http://www.eiu.edu/~econinfo

Hours:
1:00pm-2:00pm MWF

or by Appointment

2 Regular Exams
(100 points each) = 200 points

1 Semester Project
- 50 points) = 50 points

1 Final Exam
(cumulative)
= __200 points__

Total 450 points

Expected Grade Distribution and Curve Structure:

There is not
likely to be an explicit curve for the class.
Any adjustment to the scores on an exam will be the result of where the
scores are and class effort.

The Cutoffs are as
follows:

88% = A, 77% = B, 66% = C, 55% = D, below 55% is an F

Special Information:

Semester Project:

The semester
project involves the design and execution of an experiment that uses 1000
replications. This could be 1000 flips
of a coin, 1000 rolls of a dice, a 1000 draws from a deck of cards or some
other suitable experiment in probability.
The write up will be a short (1-2 pages, double spaced not including
graphics). You will also report all the
data generated by the experiment. The write
up must utilize a word processor, done by the student turning in the paper in
for his or her grade. Failure to do this
will result in a failing grade for the paper.
The project may be turned in on the Monday following the Friday due
date, with the loss of 2 letter grades, each day thereafter, one letter grade
is lost. *Under no circumstances should you
copy any other person's work, and you must cite all sources.*

Make-Up Exams: There
must be a very compelling reason to be granted a make-up exam, which, if at all
possible, should be arranged in advance.
I do not intend to give make-up exams, if I can avoid it.

If you have a documented disability, and wish to discuss
academic accommodations, please contact me as soon as possible.

Semester
Project due date:

(2)
Friday, November
21, 2014 at 3:00 pm

Statistics Applied to Economics I
- Economics 3971

N. Brodsky, Instructor

Text1:** Statistics for
Business and Economics** by Paul Newbold, William Carlson and Betty Thorne, Sixth Edition,
Prentice Hall, Upper Saddle River, New Jersey, 2007.

http://www.prenhall.com/newbold

1. Why Study Statistics?

2.
Describing Data: Graphical

3.
Describing Data: Numerical

4.
Probability

5.
Discrete Random Variables and Probability Distributions

6.
Discrete Random Variables and Probability Distributions

7.
Sampling and Sampling Distibutions

8.
Estimation: Single Populations

10.
Hypothesis Testing

11.
Hypothesis Testing II

Text2: ** Even You Can Learn Statistics** by
David M. Levine and David F. Stephen, Second Edition, Pearson Education, Upper Saddle River, New Jersey, 2010.

http://www.ftpress.com/youcanlearnstatistics2e

1. Fundamentals of Statistics?

2.
Presenting Data in Charts and Tables

3.
Descriptive Statistics

4.
Probability

5.
Probability Distributions

6.
Sampling Distributions and Confidence Intervals

7.
Fundamentals of Hypothesis
Testing

8.
Hypothesis Testing: Z and t Tests

I’ll suggest problems to do at
the end of each chapter, though I will not require them to be done, nor will I
issue a grade for them. However, you are
strongly encouraged to do them, and are welcome to show the results to me for
review.