BA 275 Quantitative Business Methods
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BA 275
Quantitative Business Methods
Spring 2006
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Instructor:
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Jim Moran
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Office:
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Bexell 334
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Office Phone:
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737-8871
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E-mail:
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moranj@bus.orst.edu
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Office Hours:
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Instructor: Monday 11-12am
Tuesday 12-1pm Wednesday 1-2pm
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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.
Prerequisite: Math 245
(probability, probability distributions, etc.) and sophomore standing.
č 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 is
available on all PC’s in the COB Computer Lab, Bexell basement; or on the free
OSUware CD which is available in Milne
Computer Center
and the Valley Library.)
Learning Outcomes:
Text
·
Moore, McCabe, Duckworth, & Sclove, The Practice of Business Statistics,
Freeman (required).
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Student Solutions Manual (optional). Several copies also available in the
Circulation Dept, Valley Library, on a 2-hour checkout basis.
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Excel-formatted Data Files for assigned problems
are on the Student CD.
Classroom Materials
All of the materials
(syllabus, course packet, data files, announcements, etc.) are available on the
campus Blackboard System. č https://my.oregonstate.edu
****** BRING THE TEXT, COPY OF THE SLIDES &
PROBLEM PACKET, *****
****** AND A CALCULATOR TO EVERY CLASS *****
Grading
The
examination process consists of: two
midterms, a take-home data analysis report (10pts + 5 pts bonus), and a
final. No alternate examination times
are scheduled. Bring a calculator and a
pencil to all exams/quizzes. All exams
will be closed book and are scheduled during the 2nd class
meeting. Exams will cover material in
the textbook, lectures, assigned & “other” problems.
Approximate
distribution of points for final grade & grade breakdown:
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Mid-Terms (2@100) (200)
Data Anal Rpt (15) (10)
Miscellaneous (10)
Final (130)
350
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A
B
C
D
F
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90%
80
70
60
<60
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Exams, Schedules,
& Attendance
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No communication devices of any type are allowed
in the classroom during exams/quizzes.
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No make-up exams or quizzes will be given. Students will receive zero points
unless: there are extreme circumstances;
the instructor is notified in advance;
and an acceptable written excuse or official verification is presented prior to
rescheduling. This includes the final
exam. There is no alternate scheduled
time for the final exam.
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Regular class attendance is strongly
encouraged. If you miss class, it is
your responsibility to pick up missed handouts, etc. I strongly suggest you team-up with another
student to cover for you in the event you do miss a class.
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You are expected to adhere to the Oregon State
University rules for
academic honesty. These rules are stated
and/or referred to as Academic Regulations in the current term’s Schedule of
Classes. You should be familiar with
this statement.
·
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:
o
cheating- use or attempted use of unauthorized
materials, information or study aids
o
fabrication- falsification or invention of any
information
o
assisting- helping another commit an act of
academic dishonesty
o
tampering- altering or interfering with
evaluation instruments and documents
o
plagiarism- representing the words or ideas of
another person as one's own
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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.
·
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.
·
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.
CLASS SCHEDULE
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Week #1 (week of April 3rd
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Topics:
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Housekeeping
Examining Distributions
READ: pp 2-23
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Assignment:
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1.2, 1.5, 1.11 SG čUse
Excel data file & StatGraphic
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Week #2 (April 10th )
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Topics:
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Quantitative Measures
READ: pp 30-45;
57-59
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Assignment:
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1.30, 1.35, 1.41,
1.63, 1.64, 1.91; 1.89(SG) SG čUse
Excel data file & StatGraphic
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Week #3 (April 17th )
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Topics:
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Discrete Distributions, Binomial Distribution, Intro to
Z-table
READ: pp 261-262; 269-270; 319-327
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Assignment:
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4.17, 4.27, 4.43,
4.49, 5.25, Ex 5.11/p 326; 5.31 a,b; 1.66, 1.75
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Week #4 (April 24th) č MIDTERM #1 this week
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Topics:
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Normal Distribution,
Sampling Distribution
READ: pp
59-70; 288-294
** 1st midterm exam—2nd class meeting: Thurs, April 27th
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Assignment:
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1.67, 1.77, 4.86,
4.93, 4.95
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Week #5 (May 1st)
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Topics:
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Statistical Inference: Confidence Intervals, Calc “n”,
& “t” Distributionč Chap 6 (w/ σ) Chap 7
(w/o σ)
READ: pp. 362-376; 432-436
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Assignment:
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6.11, 6.15, 6.16
(SG), 6.19, 7.3, 7.4
SG čUse
Excel data file & StatGraphic
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Week #6 (May 8th)
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Topics:
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Statistical Inference: Hypothesis Testing
READ: pp 380-399;
437-439
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Assignment:
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6.35, 6.36, 6.37,
6.43, 6.44, 6.45, 6.54, 6.55, 7.5, 7.38
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Week #7 (May 15th) č
MIDTERM
#2 the week
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Topics:
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Statistical Inference about a Population Proportion
Statistical Inference about Two Populations
READ: pp. 504-505; 509; 474-478
***2nd midterm exam—2nd class meeting: Thurs, May 18th
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Assignment:
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8.4, 8.25 a,b,c;
7.59, 7.105 (review p. 432 for std error & conduct a
pooled-variance test)
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Week #8 (May 22nd )
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Topics:
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Simple Linear Regression
READ: pp. 86-92; 111-124; 133-139; 584-600;
615-621
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Assignment:
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2.1, 2.3, 2.4, 2.7,
2.35 (a) (Verify the eqtn by manually calculating the slope & intercept),
2.61 (Use SG
& omit residual calculation), 10.1, 10.36, 10.43
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Week #9 (May 29th) č
DATA ANAL RPT assigned
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Topics:
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Simple Linear Regression (cont….)
Multiple Regression
READ: pp. 634-646;
650-661
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Assignment:
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11.1, 11.15, 11.90
Do a Mult Reg
Analysis on the data in Table 11.2 (Does it look like a good fit?)
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Week #10
(June 5th )
č Data Analysis Report Due: 2nd class meeting: Thurs, June 8th
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Topics:
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Multiple Regression
Chi-Squared Test of a
Contingency Table
READ: pp. 668-673; 548-557
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Assignment:
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9.17 b,c
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Finals
Week (June 12-16 )
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Final exam @ June 13th
, Tuesday, 4:00 pm
(Comprehensive, Room: TBA). No alternate exam times.
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Note:
If you have not had your COB picture taken or if it is “out-dated”, be sure
to have it taken by the COB electronic photo staff by the 2nd class of the term. They are
located in the COB Computer Lab, basement of Bexell Hall.
IMPORTANT NOTE: This syllabus is a guide, not a contract, and
therefore may be changed as necessary.
If changes are made, I will announce and discuss them in class.
