QMM 2400 - Statistical Methods for Bus I (3)

Oakland University, School of Business Administration, Department of Decision & Information Sciences

Syllabus

Course Information:
CRN: 10567
Campus: Main Campus
Schedule Type: Lecture

Tuesday,Thursday

10:00 AM - 11:15 AM

Main Campus Campus | Pawley Hall | Room 302

Descriptive statistics, probability, probability distributions, sampling distributions, estimation, and hypothesis tests. Emphasizes business applications and computer analysis of data. Includes report writing and computer projects, and presentations. Satisfies the university general education requirement in the knowledge applications integration area. Prerequisite for knowledge applications: completion of the general education requirement in the formal reasoning knowledge foundation area.
Prerequisite(s): MTH 1221 or MTH 1222 or MTH 1441 or (MTH 1331 and MTH 1332) or MTH 1554 and MIS 1000 or CSI 1300 with a minimum grade of (C) in each course, and sophomore standing.

Professor Information:
Instructor: Mohammad (Ali) Ozbeki

Learning Outcomes:
The objective of this course is to understand the role of statistic in the decisionmaking process of a business environment. At the end of the course, students should understand the following topics:

• The different types of data and sampling methods

• Tabular and graphical methods for describing data sets

• Numerical methods for describing data sets

• Probability

• Probability distributions and discrete random variables

• Continuous random variables

• Sampling distributions of the sample mean and sample population

• Point and interval estimation of population means and proportions

• Hypothesis test for population means and proportions

• Introduction to a business analytics tool

Classroom and University Policies