Master Syllabus: QM 66401

Master Syllabus: QM 66401

Master Syllabus: QM 66401

TROYUNIVERSITY
MASTERSYLLABUS
SORRELLCOLLEGE OF BUSINESS

MBA6640
Quantitative Analysis for Managers

Prerequisites

MBA 5505.

Description

This course provides an in-depth study of the fundamental theories, concepts, and principles of statistics. Coursework will include extensive use and application of statistical tools to analyzing business data using statistics software. Topics covered include descriptive statistics, probability distributions, sampling, estimation, hypothesis testing, ANOVA and regression analysis.

Objectives

On completion of the course, the student should be able to:

  1. Compute descriptivestatistics from business data.
  2. Describe common discrete and continuous probability distributions, and compute probabilities for the various distributions.
  3. Sample correctly and appropriately.
  4. Estimate statistical parameters correctly.
  5. Apply statistical hypothesis-testing procedures to business data.
  6. Apply simple- and multiple-regression and forecasting techniques to business data.
  7. Use statistical software to analyze business data.
  8. Interpret results of statistical analyses and apply them to business decision-making.

Purpose

To provide the statistical and computing toolsnecessary for managers’ analysis of business data and business decision-making.MBA unspecified elective (non-Accounting).

Approved Texts

Albright, S. C., Winston, W. L., & Zappe, C. (2006or current). Data analysis and decision making with Microsoft Excel (3rd ed.). Mason, OH: Thomson/South-Western.

Doane, D. & Seward, L. (2008 or current). Applied statistics in business and economics with student CD. McGraw-Hill.

Hildebrand, D., Ott, R. L., & Gray, J. B. (2005or current). Basic statistical ideas for managers (2nd ed.). Mason, OH: Thomson/South-Western.

Levine, D. M., Stephan, D., Krehbiel, T. C., & Berenson, M. L. (2005or current). Statistics for managers using Microsoft Excel (4th ed.). Upper Saddle River, NJ: Prentice Hall.

Supplements

Good, P. I., & Hardin, J. W. (2003). Common errors in statistics: And how to avoid them (1st ed.). Hoboken, NJ: Wiley.

Hawkes, J. S. (2008) Hawkes Learning Systems (Software).

Van Belle, G. (2002). Statistical rules of thumb (1st ed.). Hoboken, NJ: Wiley.

TroyStateUniversity Faculty Handbook(2001): Section 3.8.2.8 [extract]—22 essential elements of the syllabus (somewhat modified for space):

a.Course title
b.Course number
c.Term
d.Instructor
e.Prerequisites
f.Office hours
g.Class days, times / h.Classroom location
i.Office location
j.Office telephone
k.Course description, objectives
l.Text(s)
m.Other materials / n.Grading methods, criterion weights, make-up policy, mid-term grade reports
o.Procedure, course requirements / p.General supports (computer works, writing center)
q.Daily assignments, holidays, add/drop & open dates, dead day, final exam / r.Additional services (Americans with Disabilities Act, other statements)
s.Absence policy
t.Incomplete-work policy / u.Cheating policy
v.Specialization requirements (certification, licensure, teacher competencies)
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