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BUSN 924 Analyzing Quantitative Data 4.0 Credits

In this course, students will learn to test hypotheses and assess theory in business and behavioral contexts as those relate to analyzing survey data, archival data, and experimental data. Through hands-on exercises that revisit and reconstruct published research, students will learn commonly used statistical methods that test hypotheses and learn how to interpret the results, as well as look for problems as revealed through the statistical testing that might lend support to alternative models. Methods discuss include linear regression, dimension reduction, analysis of variance and GLM, and logistic regression models.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 922 [Min Grade: B] or BUSN 925 [Min Grade: B]

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