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Summer 2008
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Instructor: |
Ping-Hung
Hsieh |
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Office: |
Bexell
402 |
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Office
Phone: |
737-6060 |
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E-mail: |
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Office
Hours: |
Monday
10:30 11:30 A.M. Tuesday
10:00 11:00 A.M. Wednesday
9:30 10:30 A.M. |
This is an introductory level
statistics course on data analysis and statistical inference with an emphasis
on business applications. Coverage includes descriptive statistics, random
variables, probability distributions, sampling and sampling distributions,
statistical inference for means and proportions using one and two samples. This
course serves as a prerequisite to BA 376.
This
course covers quantitative methods used in data analysis and statistical
inference. Business applications of the
techniques covered are emphasized. Upon
completion of this course, students will be able to
§
identify the use and misuse of statistics in our daily lives,
§
explain how data are gathered and summarized,
§
make use of the appropriate statistical tools for making inferences
about a population based on sample information,
§
interpret the results of statistical analyses and recommend actions for
business decision-making.
Math 245 (probability, probability distributions, etc.)
and sophomore standing.
·
Anderson, Sweeney and Williams, Essentials of Statistics for Business
and Economics (abbreviated 4th ed.) (required: choose either
hardcopy or e-copy).
·
CengageNow access code (required).
Blackboard and CengageNow (CNOW)
Accounts
·
Access your Blackboard account for course
announcements/information/documents.
·
Read the document CengageNow
Student Registration Flyer (available from your Blackboard account) to
set up a CNOW account. You need this
account for online assignments and weekly tests.
o
Enter School Name: (Step 5 in the document), it is
o
Course Key (Step 6 in the document), it is E
3HATCXZDC84XR
Grading
Course scores will be computed as follows:
|
Online Assignments |
140 |
4 online assignments (35 points each) |
|
Midterm |
50 |
|
|
Final Exam |
50 |
|
|
Attendance/Participation |
10 |
1 point will be deducted for each class missed. |
Grades will be assigned based on the following scale:
|
227.50 250.00 = A |
225.00 227.49 = A minus |
222.50 224.99 = B plus |
|
202.50 222.49 = B |
200.00 202.49 = B minus |
197.50 199.99 = C plus |
|
177.50 197.49 = C |
175.00 177.49 = C minus |
172.50 174.99 = D plus |
|
152.50 172.49 = D |
150.00 152.49 = D minus |
Below 149.99 = F |
1.
You are expected to adhere to the
2. Students are expected to be
honest and ethical in their academic work.
Academic dishonesty is defined as an intentional act of deception in one
of the following areas:
·
Cheating: use or attempted use of unauthorized materials, information
or study aids
·
Fabrication: falsification or invention of any information
·
Assisting: helping another commit an act of academic dishonesty
·
Tampering: altering or interfering with evaluation instruments and
documents
·
Plagiarism: representing the words or ideas of another person as ones
own
You will
receive F as your final class grade if I find any evidence of dishonesty
regardless of severity. You will,
however, have the opportunity to appeal to my decision.
3. The goal of
4. Accommodations are collaborative efforts
between students, faculty and Disability Access Services (DAS). Students with
accommodations approved through DAS are responsible for contacting the faculty
member in charge of the course prior to or during the first week of the term to
discuss accommodations. Students who believe they are eligible for
accommodations but who have not yet obtained approval through DAS should
contact DAS immediately at 737-4098.
5. Online Assignments: No
access to the assignment after the deadline.
You have 3 attempts for each assignment and the best score will be
recorded.
6. Midterm Exam: No make-up exam will be
given and the student will receive zero points on the exam missed. For emergency or official university
business, a make-up exam will be scheduled provided that the instructor is
notified in advance and an official verification is
presented.
7. Final Exam: Due to my travel
schedule, there will be no make-up final exam. You will receive zero points if you miss the
exam. For emergency or official
university business, I will assign an Incomplete grade if an official
verification is presented. The student
will take the final examination during the finals week of the next quarter to
remove the incomplete grade.
CLASS SCHEDULE
|
Class |
Date |
Important Dates |
Text |
|
1 |
Monday June 23 |
|
· Ch 1.1 Ch 1.5 · Ch 2.1 Ch 2.4 · Ch 3.1 Ch 3.3 (pp. 52
70, skip Chebyshevs Theorem on p. 67) |
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2 |
Tuesday June 24 |
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· Ch 6.2 (pp. 149 159) |
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3 |
Wednesday June 25 |
·
Due 8PM, June 25: Assignment 1 |
· Ch 7.3 Ch 7.4 (pp. 174
177) · Ch 7.5 Ch 7.6 (pp. 178
189, skip text related to finite population correction factor.) |
|
4 |
Thursday June 26 |
·
Due 8PM, June 28: Assignment 2 |
· Ch 7.5 Ch 7.6 (pp. 178
189) · Ch 8.1 Ch 8.2 (pp. 196
208) |
|
5 |
Monday June 30 |
·
Midterm Exam (first 60-70 minutes, in class) |
· Ch 8.1 Ch 8.2 (pp. 196
208) · Ch 8.3 Ch 8.4 (pp. 209
214) |
|
6 |
Tuesday July 1 |
·
Due 8PM, July 1: Assignment 3 |
· Ch 8.3 Ch 8.4 (pp. 209
214) · Ch 9.1 Ch 9.3 (pp. 222
238) |
|
7 |
Wednesday July 2 |
|
· Ch 9.1 Ch 9.3 (pp. 222
238) · Ch 9.4 Ch 9.5 (pp. 239
246) |
|
8 |
Thursday July 3 |
·
Due 12PM, July 3: Assignment 4 ·
Final Exam (last 60-70 minutes, in class) |
· Final examination will be
comprehensive but with more emphasis on the topics covered after the midterm
examination. |
Online Assignments:
1. You have 3 attempts for each assignment before the
deadline. Hit the Submit
assignment for grading icon after each attempt to receive a grade. The final
score is based on the BEST attempt before the deadline.
2. Technical problems do occur (e.g., lost internet
connection in the middle of a session) and you may lose the answers you have
entered. Hence, I would suggest that