Economics
235
Course
Syllabus
Spring
2012
Professor:
Andrew Healy
Classroom:
University
Hall
e-mail: ahealy@lmu.edu
Class
Hours: TTh 10:50-12:05
Office:
University Hall
4229
Office
Hours: T 10:00-10:40, 1:35-2:45 and at other announced times
Course
webpage: http://myweb.lmu.edu/ahealy/econ230.htm
You should check the course webpage every day that there is class.
Prerequisite:
Students
should have completed their core math sequence since a small amount
of differential and integral calculus will be
used in Econ 235.
Calculator:
You
should bring either a scientific or graphic calculator to each class.
Textbook:
Mann,
Prem S. Introductory Statistics, 7th
edition. Wiley, 2007.
The textbook is available in the
bookstore. You may be able to save yourself some
money by buying the textbook online, but make
sure to see the note on clickers below.
Clickers: We will be using clicker
technology in this class. Starting with the second class, each student must
bring a clicker to each class. Your clicker will make it possible for you
to answer questions that I ask during class. Just as attendance is
required, it is also required that you bring your clicker and calculator
with you to each class.
The clickers that we will be using are the
radio frequency clickers produced by Interwrite.
I have worked with the bookstore to order as many used books and clickers as
possible. You should save a considerable amount of money by buying a used
textbook and used clicker, so make sure to go to the bookstore early if you
want to buy a used book and/or used clicker. There are also clicker-textbook
packages available at the bookstore. Buying the clicker-textbook package
will be cheaper than buying a new textbook and clicker separately. You
are advised to buy your clicker from the bookstore since you need to have the
specific clicker sold there.
You are also welcome to purchase your textbook
online. If you choose to purchase your book online, you must order it
early enough so that it arrives before our first class. You will also
still need to purchase a clicker if you buy the book online.
General Course Outline
Part 1 Introduction, organizing and graphing data, descriptive
statistics, probability
Chapters: 1-4
Part 2 Probability distributions: discrete and random variables,
sampling distributions,
confidence intervals
for means
Chapters: 5-8
Part 3 Hypothesis testing, chi-squared tests, linear regression
Chapters: 9-11, 13
In
this course, there will be a course project (that consists of seven labs) and
three exams. Your grade will be determined as follows:
Class
participation: 5%
Test
1: 20%
Test
Test
Course
Project / Other graded assignments: 25%
Your
class participation grade will reflect class attendance (including promptness
and having your clicker and calculator during each class) and contributions to
class discussions. Also, if you do well at answering the clicker
questions, you can earn additional points that will help your grade.
However, you will not lose points by answering the clicker questions
incorrectly. Moral of the story: You do not need to stress out about
how the clicker questions will affect your grade; they can only help your
grade. I use the clicker questions primarily so I can know what you
are and are not understanding.
A.
Course Project:
There is a
semester-long project in this course that consists of seven laboratory
exercises which provide hands-on experience with collecting and analyzing
data. These labs must be handed in on time in a folder so that all prior
labs are submitted with each new lab. You will lose two points (out of
10) for each day that a lab is late, so it is in your best interest to hand in
all of your labs on time. You will receive an overall grade based on how
well you do on all the assignments.
B.
Tests:
All
of the tests are comprehensive. Tests must be taken at the scheduled time
unless extraordinary circumstances occur and written verification confirms
those circumstances.
Test
3 (also known as the final exam) will be held on Tuesday (May 1) from 11:00 AM
– 1:00 PM.
C.
Readings:
All
readings for the course will be written on the board at the beginning of
class. If you must miss a class, it is your responsibility to get the
assignment from another student in the class. Make sure that you know at
least two students in the class who can help you in this regard.
Grading
scale:
The
grade scale for this class will be:
94-100: A / 90-93: A-
/ 87-89: B+ / 83-86: B / 80-82: B- /
77-79: C+ / 73-76: C
/ 70-72: C- / 60-69: D / Below 60: F
Classroom
Conduct Reminder: In
order to provide the best learning environment possible for everyone, cell
phones, iPods, etc., must be completely turned off and put away at all times
during class.
Also,
LMU’s policies on academic honesty are in effect at all times.
Using the
computer: You will
learn to do statistical analysis using Microsoft Excel. Some of your
homework assignments will require you to use Excel. Microsoft Excel is on
all computers in all computer labs throughout the university.
M=Monday, T=Tuesday, W=Wednesday,
R=Thursday, F=Friday, S=Saturday, U=Sunday
This Academic Calendar represents the University's best judgment and projection
of the course of conduct of the University. It is subject to change due to
forces beyond the University's control or as deemed necessary by the University
in order to fulfill its educational objectives.
|
Jan 9
|
M |
Classes begin |
|
Jan 13 |
F
|
Last day to file application to participate
in May Commencement |
|
Jan 13 |
F |
Last Day to add or drop a class
without a grade of W |
|
Jan 16 |
M |
No Classes - Martin Luther King,
Jr., Day |
|
Jan 27 |
F |
Last day for undergraduates to
finish coursework for Fall grades of Incomplete |
|
Feb 10 |
F |
Last day for instructors to
submit grades for undergraduates with Fall grades of Incomplete |
|
Feb 24 |
F |
Last day to submit mid-term
deficiency grades |
|
Feb 27-Mar 2 |
M-F. |
No Classes - Spring Break |
|
Mar 16 |
F |
Last day to withdraw from
classes or apply for Credit/No Credit grading |
|
Apr 4-6 |
W-F |
No Classes - Easter |
|
Apr 9 |
M |
Registration for Fall semester
begins |
|
Apr 16 |
M |
Deadline for Dissertation
Defense |
|
April 27 |
F |
Last day of classes |
|
Apr 28-29 |
S-U
|
Reading Days |
|
Apr 30-May 4 |
M-F |
Final Examinations |
|
May 5-6 |
S-U |
Commencement Weekend |
|
May 9 |
W |
Last day for instructors to
submit final grades |