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GS/FACC 6400 3.00   Research Methods and Statistical Inference

Course Description:

This course has four principal objectives. The first is to help students take a more structured and scientific approach to the evaluation of data. Managers are literally bombarded with data (the information overload problem) and must be able to filter and assess the quality of such data before inputting into managerial decision models. The ability to evaluate the quality of data and to make generalizations from it using the principles of statistical inference are critical skills for all mangers. The second objective of the course is to show how risk and uncertainty can be incorporated into decision making using techniques such as Probability theory and Bayesian inference. The third objective to show how data is qualitatively evaluated using the principles of evidence. Managers should be adept in evaluating both the sufficiency and persuasiveness of evidence used in decision models. The fourth objective is to show students how to prepare a research proposal to address any business problem. This is obviously essential for students pursuing the major paper option, but any manager benefits from recognizing when sound methodological principles have been followed in researching a business question. Managers read and possibly rely on many research reports over their careers and it is important to be able to distinguish good research from weak research.

Language of Instruction:


Course Schedule:

Fall/Winter 2023-2024 Schedule

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