Faculty of Management Technology

Faculty of Management Technology

MGMT 604: Quantitative & Qualitative Analysis

Course Type: Lecture & Tutorial

Prerequisites: MATH 202

I. Course Description

This is an intermediate course that provides students of management majors with basic and intermediate quantitative & qualitative techniques, methods & tools that help decision makers to make rational decisions concerning actual life business and economic practices.

II. Course Instructional Goals & Objectives

Objectives:

It is expected for those who take the course to achieve:

1) Familiarity and understanding of basic techniques & methods that deal with qualitative & quantitative variables.

2) Ability to use and apply the methods learned in the course in selected applied problems in various fields of business and management such as: Finance, Marketing, Organization Behavior, Quality/Production/Operations management, technology & innovation management, and other related fields. This would be done through relating different topics in the course to fields of study.

3) Developing the sense of reaching rational decisions concerning future research and career objectives, through modeling the real world in different applications.

III. Course Content

Topics that will be covered in this course are:

➢ Introduction on Statistics & Probability

➢ Discrete probability distribution (BINOMIAL)

➢ Continuous probability distribution (NORMAL)

➢ Simple Linear Regression & Correlation

➢ Sampling distribution

➢ Estimation & Hypothesis testing

➢ Inference about a single population

➢ Inference about two populations

➢ Addition test for Qualitative Data and/or Nonparametric test: Chi-Square Tests

IV. Course Material

Main Text:

• Statistical techniques in Business and Economics, Lind, Marchal & Mason, McGraw Hill Publishing, 14th edition, © 2007

Additional Material:

• Statistics for Management and Economics, Gerald Keller, Duxbury...