STAT 615 - Analytical Statistics for Management

3 Credits
This course explores applications for the practitioner in industry. Included are data descriptions, measures of central tendency and variability, probability, tests of hypotheses, regression analysis and analysis of categorical data. Selection of research problems, analysis of literature, individual investigations, preparing reports, and proposal writing are detailed. The course will also survey decision making and making recommendations using qualitative and quantitative data. Students will also discover threats to internal and external validity for quantitative research. Minitab will be used throughout the course.

Fees: Additional course fees apply.
Prerequisite(s): Completion of an undergraduate course in introductory statistics (STAT 220) course or STAT 500
Course Learning Outcomes:
1. Select and perform the statistical analysis for a problem.
2. Employ methods of descriptive and inferential statistics to data sets for purposes of data description and decision making.
3. Analyze the results of a statistical analysis and make conclusions based on those results.
4. Compare and contrast basic statistical concepts, specifically the differences between the two major branches of statistics: descriptive and inferential.
5. Compare and contrast the similarities and differences between purpose statements, research questions, hypotheses, and research objectives.
6. Discuss the limitations of a statistical analysis.
7. Explain the steps in the process of qualitative data collection and analysis.
8. Explain the essentials of measurement, addressing validity of tests and measures, reliability, and decision making.