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Transcript
Course:
B(E)MA 140B01/B02 – Statistical Analysis and Business Decision I - W2013
Professor:
Kyung Young Lee
Class schedule: Jan 09th ~ April 10th, Mon & Wed / 13:30 ~ 14:50 (B01) and 15:00 ~ 16:20 (B02)
Rooms:
Classroom: Hamilton 302 / Office: Divinity 39 (Writing center building 3rd fl.)
Email:
[email protected], [email protected]
Office hours: Mon 16:30PM-18:30PM; Wed 11:20AM-13:20PM; by appointment
COURSE DESCRIPTION:
Statistical data are either reported or interpreted in almost any journal and daily
newspaper. Whether as a consumer or a future professional who performs data analysis, today’s
world requires you to have a good understanding of the basic concepts of Probability and Statistics.
The communication of the results in writing is as important as the numerical values obtained.
This course has three parts: Descriptive Statistics, Fundamentals of Probability Theory, and
Probability Distributions. Each part must be well understood before attempting the next one. It is
extremely important to work alone, not in groups. Once you tried to solve the problems, you may
wish to compare your solutions with your classmates or request help from the instructor, the Math
Help Center, the Business Help Center, or your friends.
We will use five teaching materials, in order to improve students’ learning: 1) Textbook, 2)
Power point slides, 3) hand-out materials, 4) Scientific Calculator, 5) MS Excel
TEXTBOOK and other Teaching materials
 Textbook: “APPLIED STATISTICS IN BUS & ECON (W/CD)(CANADIAN ED)” by Doane
 Scientific Calculator: Scientific Calculator: Sharp EL531WBBK, Sharp EL-W516B / Sharp ELW535B / Sharp EL-506WBBK / Sharp EL-520 (very important!)
 MS Excel (Optional): Bring your own Laptop in class
GRADING SCHEME:
 Assignments (4x6%)
 Midterm (Oct 22 in class)
 Final examination (TBA)
24 %
26 %
50 %
100 %
NOTES:
 Please turn off any electronic communication device during class
 Due to the class size, the date of the midterm exam will not be rescheduled
 Class materials, assignments, announcements can be found on Moodle. Please refer to it for any
updates or new information

A score of at least 50% in the final exam is required to pass the course. The final exam is a
comprehensive test covering the entire course.
The assignments are individual and will cover topics previously discussed in class. The
assignments must be handed on time (at the beginning of the class on due date); otherwise a
grade of zero will be given. Hand in your work in order, stapled and clean. Do not send your
assignments by email.
Please read the academic calendar section concerning plagiarism at
http://www.ubishops.ca/fileadmin/bishops_documents/admin_governance/u_policies/Policy%
20on%20Academic%20Integrity.pdf
There is no supplemental examination



COURSE SCHEDULE and IMPORTANT DATES
No
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
DATE
Jan 09
Jan 14
Jan 16
Jan 21
Jan 23
Jan 28
Jan 30
Feb 4
Feb 6
Feb 11
Feb 13
Feb 18
Feb 20
Feb 25
Feb 27
16
17
18
19
20
21
Mar 11
Mar 13
Mar 18
Mar 20
Mar 25
Mar 27
22
23
24
NA
Apr 03
Apr 08
Apr 10
TBA
TOPICS
Chapter
Introduction and Overview of Statistic
1
Data Collection and Data Distribution
2, 3
Descriptive Statistics
4
Descriptive Statistics
4
Descriptive Statistics / Probability
5
Probability
5
Probability
5
Probability
5
Probability
5
Probability
5
Mid-term Prep 1
1~5
Mid-term Prep 2
1~5
Midterm (H302, in Class)
1~5
Discrete Probability Distribution
6
Discrete Probability Distribution
6
No class (Reading week, March 04 ~ 08)
Discrete Probability Distribution
6
Continuous Probability Distribution
7
Continuous Probability Distribution
7
Continuous Probability Distribution
7
Continuous Probability Distribution
7
Sampling Theory
8
No class (Easter Monday, April 1)
Sampling Theory
8
Final-term prep 1
1~5
Final-term prep 2
6~8
FINAL EXAM (Comprehensive)
1~8
ASSIGNMENT
Assignment #1 Released
Assignment #2 Released
Assignment #1 Due
Assignment #2 Due
Assignment #3 Released
Assignment #4 Released
Assignment #3 Due
Assignment #4 Due
Replacement for Apr 1
2