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QBUS: Quantitative Business

Department of Management Information Systems and Decision Sciences

Eberly College of Business and Information Technology

QBUS 500 Foundations of Business Statistics 3 cr.

A conceptual course designed to familiarize students with the basic techniques for obtaining, organizing, summarizing, analyzing, presenting, interpreting, and acting upon numerical activities. Topics include descriptive statistics, random variables, probability distributions, statistical sampling and survey methods, testing of hypotheses, analysis of variance, regression analysis, and time series. Major attention is given to identifying and describing the process involved in carrying out a statistical analysis and how statistical methods may be used within the managerial and business decision process.

QBUS 581 Special Topics 3 cr.

QBUS 601 Data Analysis and Decision Making 3 cr.

Familiarizes students with statistical techniques for making comparisons and predictions about a population based on sample data. Major attention is given to identifying and describing the process involved in carrying out a statistical analysis and how a variety of desktop tools and statistical packages may be used within the managerial and business decision process. Topics include analysis of variance, regression (linear and multiple), time series, statistical process control, decision analysis, linear programming, and simulation.

QBUS 604 Seminar in Methodology of Business Research 3 cr.

Helps students acquire a basic understanding of the research process and a knowledge of the research methods needed in the design and execution of a competent applied behavioral research. Emphasizes measurement and scaling, survey research, and data analysis. Prerequisite: QBUS 601.

  • School of Graduate Studies and Research
  • Stright Hall, Room 101
    210 South Tenth Street
    Indiana, PA 15705-1048
  • Phone: 724-357-2222
  • Fax: 724-357-4862
  • Office Hours
  • Monday through Friday
  • 8:00 a.m. – 4:30 p.m.
  • Summer: 8:00 a.m. - 4:00 p.m.