BA 275 Quantitative Business Methods

Fall 2006

[Click here to download class material]

FINAL EXAMINATION

§ 7:30A.M., Thursday, 12/ 7/2006

§ Owen 102 >>>> (not in the Bexell Hall)

§ Check the seating chart when you arrive.

§ Open book/notes. Need a calculator.

§ Comprehensive: Chi-Squared Test + Regression Analysis: 60 – 70%. The rest of the questions will come from the materials covered in the first two midterm examinations.

§ Remember to turn in SG#3 and CD#3 at the beginning of the examination.

Instructor:	Ping-Hung Hsieh
Office:	Bexell 407
Office Phone:	737-4297
E-mail:	hsiehph@bus.orst.edu
Office Hours:	Tuesday 2:00 – 3:00 p.m. Wednesday 3:00 – 4:00 p.m. Thursday 9:10 – 10:10 a.m. And by appointment

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

· Moore, McCabe, Duckworth and Sclove, The Practice of Business Statistics, Freeman (required).

· Upgrade Study Pack, Freeman (required).

Class and Textbook Websites

§ BA 275 Class Website. Under the COB homepage (http://www.bus.orst.edu/), click STUDENT SERVICES / COURSE MATERIALS, and the “>>” sign under Fall 2006 Course Materials. Click my last name HSIEH to enter the course website. You will find additional documents for our class.

§ Textbook Website: http://www.whfreeman.com/pbs. You will find additional materials to help you master several important statistical concepts covered in the textbook.

Grading Course scores will be computed as follows:

CD Quizzes	60	(60 lessons at 1 point each.)
SG Projects	60	(3 computer projects at 20 points each.)
Midterm	80	(2 midterm exams at 40 points each.)
Final Exam	50

Grades will be assigned based on the following scale:

233 – 250.00 = A	232 – 232.99 = A minus	231 – 231.99 = B plus
208 – 230.99 = B	207 – 207.99 = B minus	206 – 206.99 = C plus
183 – 205.99 = C	175 – 182.99 = C minus	No D plus
No D	No D minus	Below 183 = 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. Midterm Exams and Final Exam: No make-up 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.

6. Quizzes and Computer Projects: all quizzes and projects are due at the beginning of the class on the specified date. Two points will be deducted if you miss the deadline (e.g., you turn it in after the class on the due date.) Two points will be deducted every 24 hours after the due date until you turn in the assignment.

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

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

CLASS SCHEDULE

Week	Date	Important Dates	Reading Assignment (Textbook page no.)	CD Assignment (Upgrade lesson no.)
Exploring Data: Data Analysis
1	9/26	· Housekeeping · Introduction to Statistics	4 – 40	1, 2, 3, 4, 5, 6, 7
	9/28
2	10/ 3		40 – 44 86 – 96 102 – 108 56 – 66	8, 13, 14, 15, 10, 11, 12
	10/ 5
Experiencing Random Behavior: Probability and Sampling Distributions
3	10/10		319 – 327 206 – 217 282 – 295	38, 31, 32, 33, 34
	10/12	· SG review class
Drawing Conclusions from Data: Statistical Inference on Quantitative Data I
4	10/17		362 – 374	35, 40, 41, 42, 43, 44, 45, 46, 47
	10/19	· Midterm #1 · CD #1 and SG#1 due
5	10/24		380 – 394	48, 49, 50, 51, 52
	10/26
6	10/31		394 – 398 404 – 420	53, 54, 55, 56
	11/ 2
Drawing Conclusions from Data: Statistical Inference on Quantitative Data II
7	11/ 7		432 – 439 443 – 445 461 – 468	57, 58, 60, 61
	11/ 9	· SG review class
Drawing Conclusions from Data: Statistical Inference on Qualitative Data
8	11/14		504 – 516	62, 63, 64, 65, 66, 67, 68
	11/16	· Midterm #2 · CD #2 and SG#2 due
Modeling Relationships: Linear Regression Analysis
9	11/21		520 – 528 111 – 124 133 – 140	69, 70 16, 17, 18, 19, 20
	11/23	· Thanksgiving holiday
10	11/28	· SG review class	584 – 589 594 – 597 608 – 610	78, 79,80, 81, 82
	11/30	· Attendance is mandatory.
Finals Week
11	12/ 7	· Comprehensive Final Exam (7:30 A.M., Thursday, 12/ 7/2006. Room: TBA.) · CD #3 and SG #3 due

§ CD assignments: there is a self assessment quiz at the end of each CD lesson. Once the quiz is loaded, click the “Begin Assessment” button to start the quiz. At the end of the quiz, click the “Grade Quiz” button to see your score. You may repeat the quiz as many times as you want. For each quiz, make a hard copy of the page that contains your best score. The scores pertaining to the CD lessons assigned between Weeks 1 – 3, Weeks 4 – 7, and Weeks 8 – 10 must be turned in on 10/19, 11/116, and 12/7, respectively.

§ The class on 11/30 is mandatory. An important topic not in the CDs will be covered.