“to provide students with a perspective on the integration of the
functional areas of business, while
maximizing the use of analytical skills and knowledge for decision
making in a
contemporary global business environment”
Department of
BCIS/QM
Quantitative
Methods 122 – Intermediate Business Statistics
Undergraduate
Course
Instructor’s
Name: Lonnie K. Stevans
Office Hours: 11:15 A.M. – 12:15 P.M., M-W-F
Location of
Office: 111 Weller Hall
Extension: 35375
Home Number: 631-598-8518
Fax: 631-264-0730
E-Mail Address: acslks@hofstra.edu
Web Page: http://www.i2.i-2000.com/~acslks/lks.html
General
Information:
Location of
Department Office: 211 Weller Hall
Extension: 35716
Department
Chairperson: Dr. John Affisco
Description of
Course:
Builds upon and continues the work introduced in QM
001. Topics include statistical quality
control, chi-squared tests and the analysis of
contingency tables, simple and multiple regression,
correlation, and time series models with
applications to business forecasting.
Prerequisites:
QM 001, BCIS 010 or 014
Required Text:
Statistics for Business and Economics, 9th Edition, by
Anderson, Sweeney, and Williams.
Computer
Proficiency Required:
It is expected that the student will have an elementary
knowledge of Blackboard and the Windows
Operating System.
Outcome
Objectives and Methods of Achieving the Objectives:
To acquaint the student with the use of Minitab in
analyzing business and economic problems.
Upon completion of this course, a student should be
able to perform intermediate statistical
analyses using Minitab. The instructor will lecture on individual
chapters and assign homeworks
that will be done on Blackboard.
Attendance
Policy:
Attendance is required for satisfactory completion
of the course.
Method of
Evaluation:
Students are required to read all assigned chapters
and do all assigned homeworks. Late
assignments
will not be accepted beyond the date that they are
due. Homeworks on Blackboard will be made
available until 8:00 A.M. the day that they are due. A midterm and a final exam will be given:
Computer
Assignments: 15 %
Midterm
Exam: 40 %
Final
Exam: 45 %
To be eligible for a makeup examination, a student
must submit to the instructor written documentation
of the reason for missing a scheduled examination
due to medical problems or death of an immediate
family member.
The instructor (not the student) determines whether and when a makeup is
to be
given. If a
makeup examination is to be given, the instructor will determine the type of
makeup
examination.
If the student misses (for any reason) the scheduled makeup examination,
additional
makeups are not permissible.
University
Policy on Incomplete Grades:
A student unable to complete a course may, with the permission of the instructor, receive a grade
of incomplete (INC). The instructor will permit the student to compete and submit the missing work
no later than the third week of the following semester. All undergraduate students may accumulate
up to nine credits of INC grades without penalty. Past this nine-credit limit, all subsequent INC
grades not made up will convert to Fs at the end of the semester following the one in which they
were assigned.
Course Outline:
Chapters
I. Review 6,
7, 8, 9
II. Tests of Goodness of Fit and
III. Simple Linear Regression 14
IV.
Midterm Exam
V. Multiple
Regression 15
VI. Model Building 16
VII. Statistical Methods for Quality Control 20
VIII. Forecasting 18
IX. Final