Oregon State University

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BA 275  Quantitative Business Methods

Fall 2005, Section 004

 

 

 

[Click here to download CEO.sf3 data] 

 

 

 

 

Instructor:

Ping-Hung Hsieh

Office:

Bexell 407

Office Phone:

737-4297

E-mail:

hsiehph@bus.orst.edu

Office Hours:

Monday 10:00 – 11:00 a.m.

Wednesday 2:00 – 3:00 p.m.

Thursday  9:30 – 10:30 a.m.

 

Course Description

Management decision processes utilizing statistical methods, use and application of probability concepts, sampling procedures, statistical estimation, and regression to the analysis and solution of such business problems as income and cost estimation, sales forecasting, performance evaluation, inventory analysis, and quality control.

 

 

Course Objectives

This course teaches quantitative methods used in data analysis and business decision making. Topics covered include: descriptive statistics, correlation and regression, hypothesis testing, statistical process control, and forecasting. Business applications of these techniques are emphasized. Students in this course will acquire expertise in computer-based methods for data analysis and decision making, through computer analysis of business datasets.

 

Upon completion of this course, students will understand and be able to use STATGRAPHICS PLUS to analyze business, economic and financial data with various statistical tools.  (The software can be obtained from Milne Computer Center.  Free of charge.)

 

 

Prerequisite

Math 245 (probability, probability distributions, etc.) and sophomore standing.

 

Text

·         Print Companion to Accompany CyberStats: An Introduction to Statistics (required).

·         A small packet available at the bookstore (required).

 

 

 

******  PLEASE BRING THE TEXT, THE PACKET  *****

******  AND A CALCULATOR TO EVERY CLASS   *****

 

Grading  Course scores will be computed as follows:

 

Quizzes

60

(7 quizzes at 10 points each.  One lowest quiz will be dropped.)

Midterm

80

(2 midterm exams at 40 points each.)

Final Exam

45

 

Cyberstats

48

(must complete and submit “Self-Assess” portion of all 24 Cyberstats modules online by 5:00 p.m., December 2, 2005.  Each module is worth 2 points.)

 

            Grades will be assigned based on the following scale:        

213 - 233 = A

211 – 212.99 = A minus

209 – 210.99 = B plus

192 – 208.99 = B

190 – 191.99 = B minus

188 – 189.99 = C plus

171 – 187.99 = C

169 – 170.99 = C minus

167 – 168.99 = D plus

145 – 166.99 = D

No D minus

Below 145 = F

 

Important Matters

 

1.       You are expected to adhere to the Oregon State University rules for academic honesty.  These rules are stated in Academic Regulation.  You should be familiar with the statement.

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 one’s own

3.       The goal of Oregon State University is to provide students with the knowledge, skill and wisdom they need to contribute to society.  Our rules are formulated to guarantee each student’s freedom to learn and to protect the fundamental rights of others.  People must treat each other with dignity and respect in order for scholarship to thrive.  Behaviors that are disruptive to learning will not be tolerated, and will be referred to the Office of the Dean of Students for disciplinary action.  Behaviors which create a hostile, offensive or intimidating environment based on gender, race, ethnicity, color, religion, age, disability, marital status or sexual orientation will be referred to the Affirmative Action Office.

4.       Students with documented disabilities who may need accommodations, who have any emergency medical information the instructor should know of, or who need special arrangements in the event of evacuation, should make an appointment with the instructor as early as possible, no later than the first week of the term.  In order to arrange alternative testing, the student should make the request at least one week in advance of the test.  Students seeking accommodations must register with the Office of Services for Students with Disabilities.

5.       All work which is submitted in partial fulfillment of the requirements of this course must be solely completed by the student submitting the work.  Violations of this requirement will be formally addressed and students will receive no credit for the assignment.  This does not preclude the opportunity for students to “work together” before submitting the assignment.

6.       Quizzes: No make-up quizzes will be given for any reason.  Period.   Midterm Exams: No make-up midterm exams will be given and the student will receive zero points on the exam missed unless the instructor is notified in advance and an acceptable written excuse or official verification is presented prior to rescheduling the exam.  Final Exam: You will receive zero points if you cannot take the examination at the scheduled date and time for ANY reason.

7.      Regular class attendance is strongly encouraged.  If you miss class, it is your responsibility to pick up missed handouts, etc.

8.      No communication devices of any type are allowed in the classroom.  Please turn off your cell phone before entering the classroom.

CLASS SCHEDULE

 

Statistics is the science of data.  It involves collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical information.

 

Week 1. Exploring Data (9/26, 9/28)

Topics:

Housekeeping

Introduction to Statistics

Descriptive Statistics and Graphical Methods

  • Quiz #1 on 9/28 in class or on 9/30

 

CyberStats:

A-1, A-4, A-5

Week 2. Exploring Data (10/ 3, 10/ 5)

Topics:

Descriptive Statistics and Graphical Methods

Binomial Distribution

  • Quiz #2 on 10/ 5 in class or on 10/ 7

 

CyberStats:

A-5, A-6, A-9, B-7

Week 3.  Experiencing Random Behavior (10/10, 10/12)

Topics:

Binomial Distribution

Normal Distribution

  • Quiz #3 on 10/12 in class or on 10/14

CyberStats:

B-7, B-9

Week 4.  Experiencing Random Behavior (10/17, 10/19)

Topics:

Normal Distribution

Sampling Distribution of the Statistic

  • 1st midterm exam @ 10/19 in class.  No quiz this week.

 

CyberStats:

B-11, B-12

Week 5.  Drawing Conclusions from Data (10/24, 10/26)

Topics:

Statistical Inference: Confidence Intervals

  • Quiz #4 on 10/26 in class or on 10/28

 

CyberStats:

B-12, C-1, C2

Week 6.  Drawing Conclusions from Data (10/31, 11/ 2)

Topics:

Statistical Inference: Hypothesis Testing

  • Quiz #5 on 11/ 2 in class or on 11/ 4

 

CyberStats:

C-3, C-4

Week 7.  Drawing Conclusions from Data (11/ 7 , 11/ 9)

Topics:

Statistical Inference about a Population Proportion

Statistical Inference about Two Populations

  • Quiz #6 on 11/ 9 in class or on 11/11

 

CyberStats:

C-6, C-7, C-8

Week 8.  Modeling Relationships (11/14, 11/16)

Topics:

Simple Linear Regression

  • 2nd midterm exam @ 11/16 in class.  No quiz this week.

 

CyberStats:

A-7, A-8, D-1, D-2

Week 9.  Modeling Relationships (11/21, 11/23)

Topics:

Simple Linear Regression

Multiple Regression

  • Quiz #7 on 11/23 in class or on 11/25 (please let me know in advance if you plan to take the quiz on 11/25.)

 

CyberStats:

D-2, D-3, D-4

Week 10. Testing Qualitative Variables (11/28, 11/30)

Topics:

Multiple Regression

Chi-Squared Test of a Contingency Table

·        No quiz this week

 

CyberStats:

D-3, D-4, B-13, C-10

Finals Week (12/ 7)

  *** Final exam @ 4:00 pm, Wednesday, 12/ 7 (Comprehensive, Room: TBA).  You will receive zero points if you cannot take the examination at the scheduled date and time for ANY reason.

 

Weekly Quizzes

1.       Weekly quizzes will be given (1) at the end of the lecture on Wednesdays in class AND (2) on Fridays in Bexell 415 between 8:00 – 9:40 a.m. except for Weeks 4, 8 and 10.  You may choose to take the quiz on either Wednesday or Friday. 

2.       You will need a calculator and a pen for the quizzes.  If you choose to take the quiz on Friday, remember to bring your student ID so that the teaching assistant can check you in.

3.       You will be given 20 minutes for each quiz session.

 

Cyberstats

1.       Registration.  Point your web browser to http://www.cyberk.com/.  On the left hand side of the screen, click on “Register for Cyberstats”.  On the next screen, click on “Student Registration”.  On the next screen, enter the PIN CODE that came with the textbook you purchased.  Look for Oregon State University – College of Business, BA 275 - Quantitative Business Methods, Primary Instructor: Ping-Hung Hsieh.  Fill out the form and choose a username and password.

2.       Taking a Cyberstats session.  Go to http://www.cyberk.com/ and click on “Login to Cyberstats”.  Enter your username and password to start a Cyberstats session.