Department of Mathematics and Statistics
Stat 2300, Fall 2004
Business Statistics - International Program
Syllabus
USU Catalog Description
QL 2300. Descriptive and inferential statistics, probability, sampling,
estimation, tests of hypotheses, linear regression and correlation,
chi-square tests, analysis of variance, and
multiple regression.
Prerequisite: Math 1050. (4 Cr - F, Sp, Su)
Relation to Stat 2000
Due to the previously offered statistics courses for the
International Program, it is assumed that students have taken
an Introductory Statistics course such as Stat 2000 before.
Stat 2300 this semester will not cover all topics from the
USU Catalog Description but only address those topics that have not
been discussed in Stat 2000. If you have not taken Stat 2000
(or a similar course) before, please contact your local instructor
and USU instructor immediately.
USU Instructor
Dr. Jürgen Symanzik
Assistant Professor
Utah State University
Department of Mathematics and Statistics
3900 Old Main Hill
Logan,
Utah 84322-3900
USA
e-mail: symanzik@math.usu.edu
Local Instructor
Joseph, Kim Keung Ho
Institute of Advanced Learning
Tsim Sha Tsui Center
Hong Kong
e-mail: sjho@i-cable.com
Textbook
We will use the electronic textbook
CyberStats again. Please go to
http://cyberk.com and
register for course ID # 865
(Standard - Utah State University - Juergen Symanzik -
Stat 2300 - International) at
a cost of US-$ 33. This will give you access to CyberStats
for one semester.
It is your responsibility to pay the CyberStats
publisher directly. If you do not submit your payment, your
access to the electronic textbook will be denied after
the initial trial period.
There exists an optional print companion to CyberStats
at an additional cost.
In case you would like to obtain the
printed version of the course material,
please contact the CyberStats publisher directly. It may be beneficial
if a small group of students jointly orders several copies
of the print companion.
Please check the message board of CyberStats frequently for announcements,
discussions, etc.
Lessons / Homework Assignments
CyberStats allows you to work at your own speed, at times most
convenient to you. There is a weekly meeting,
administered by the local instructor.
The confirmed times for the course are as follow:
- Mondays (from 8/30/04 to 12/6/04), 1pm - 4pm
- Tuesdays (from 8/31/04 to 12/7/04), 1pm - 4pm
Your local instructor will inform you when a meeting
has to be rescheduled due to local holidays or for other reasons.
The meeting location for the course is:
The weekly meetings are no regular lectures. Instead, your local
instructor will help with technical problems, summarize
answers to frequently asked questions, and emphasize
important points of the course material assigned for
reading each week.
CyberStats consists of 7 main units and more than 40 subunits:
- Units A: Collecting and Visualizing Data
- Units B: Modeling Random Behavior
- Units C: Inference
- Units D: Regression
- Units E: Design of Experiments and ANOVA
- Units F: Time Series
- Units G: Statistical Process Control
We will study the following subunits, following a schedule
that addresses 2 subunits (plus additional material) each week (i.e., 17 subunits overall):
- Week 1 (beginning Mo 8/30/04):
- Review: A-8 Correlation - Describing Bivariate Data - Exercise Set 2
- Review: B-9 Normal Distribution - Exercise Set 2
- Week 2 (beginning Mo 9/6/04):
- Review: C-4 Hypothesis Test for the Mean - Exercise Set 2
- Review: D-2 Simple Linear Regression - Exercise Set 2
- Week 3 (beginning Mo 9/13/04):
- A-9 Describing Categorical Data - Exercise Set 1
- B-8 Poisson Distribution - Exercise Set 1
- Week 4 (beginning Mo 9/20/04):
- B-10 Exponential Distribution - Exercise Set 1
- B-14 F-Distribution - Exercise Set 1
- Week 5 (beginning Mo 9/27/04):
- C-5 Power and Sample Size - Exercise Set 1
- C-9 Paired Data - Exercise Set 1
- Week 6 (beginning Mo 10/4/04):
- D-3 Residuals - Exercise Set 2
- D-4 Multiple Linear Regression - Exercise Set 1
- Week 7 (beginning Mo 10/11/04):
- E-1 Basic Principles of Experimental Design - Exercise Set 2
- E-2 Analysis of Variance: Concepts & Basics - Exercise Set 1
- Week 8 (beginning Mo 10/18/04):
- E-3 One-Way ANOVA - Exercise Set 1
- F-1 Data Over Time - Exercise Set 1
- Week 9 (beginning Mo 10/25/04):
- G-1 Overview of Statistical Process Control - Exercise Set 1
- Non-CyberStats: Misleading Graphs and Charts - Material and Exercises will be posted
- Group Project: Forming of Groups
- Week 10 (beginning Mo 11/1/04):
- Non-CyberStats: Why NOT to use Microsoft Excel for Statistics - Material and Exercises will be posted
- Group Project: Selection of Data
- Week 11 (beginning Mo 11/8/04):
- Group Project: Analysis of Data
- Week 12 (beginning Mo 11/15/04):
- Group Project: Analysis of Data
- Week 13 (beginning Mo 11/22/04):
- Group Project: Analysis of Data
- Week 14 (beginning Mo 11/29/04):
- Group Project: Presentations - Reports due
- Week 15 (beginning Mo 12/6/04):
- Group Project: Presentations - Reports due
You should work independently on these subunits,
reading the main parts, checking your progress via
the self-assessment tests, and work on as many of the
homework assignments as possible. You are always allowed
to work ahead, but you should not fall behind this schedule.
For each CyberStats subunit,
the assigned set of homework assignments has been listed.
You have to submit your answers electronically
via CyberStats by the end of a week. This means,
answers to the exercises of subunits A-8 and B-9
are due on Sun 9/5/04, 23:59 (11:59pm)
There will be 10 sets of homework assignments, each
worth 15 points. Your local instructor will randomly select
a subset of questions and grade these in detail.
For those questions not selected, you will get credit
based on whether you have done/not done a question
(independenly from correctness).
Exams
There is one midterm exam only. The midterm
is worth 450 points. There is no final exam.
The midterm is open-book, open-notes, open-computer (i.e., you
have full access to CyberStats and all its tools, calculators, etc.).
The midterm should be completed in 120 min (2 hours). You are expected
to use the CyberStats tools, calculators, etc. efficiently.
If you rarely looked at the CyberStats tools and only
read the main text, you will most likely
fail the exam.
The midterm will be given in or after week 10 (beginning Mo 11/1/04)
and will cover the following 17 subunits:
A-8, B-9, C-4, D-2, A-9, B-8, B-10, B-14, C-5, C-9, D-3, D-4,
E-1, E-2, E-3, F-1, G-1.
The two Non-CyberStats topics will not be examined in the midterm.
Your local instructor will inform you on exact dates,
times, and rooms of the midterm during the semester.
Exam questions will be at the same difficulty level
as the exercises from the homework assignments.
In fact, some exam questions will be drawn from the
remaining exercise sets. The midterm
will consist of regular questions and a data part
where you are given a real data set and are
required to answer
questions using the CyberStats tools.
The midterm will be
graded by your US instructor.
Sample questions (with answers) will be provided
later in the semester.
Group Project
You will have to work in a small group (3 to 5 students)
on a group project. You will have
to find a business/economics related data set on the Web
(e.g., automobile sales, currency exchange rates,
unemployment numbers),
analyze (numerically, graphically, and via model building)
the data with WebStat, prepare a 10 to 15 min
presentation with PowerPoint, and prepare a short written
report (5 to 10 pages).
The group project is worth 400 points:
up to 200 points for the PowerPoint presentation (assessed by your
local instructor) and up to 200 points for the
written report (assessed by your US instructor).
More details and an exact timeline will be provided
later in the semester.
Grading Policy
Overall, there will be 1000 points: 150 for homework assignments,
450 for the midterm, and 400 for the project.
To pass the course overall,
you will need at least 150 points (33.3%) from the midterm.
An approximate point/grade distribution is given below.
Plus minus grades are not indicated.
- 860 - 1000: A
- 740 - 859: B
- 620 - 739: C
- 500 - 619: D
- 0 - 499: F