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QUANTITATIVE ANALYSIS FOR BUSINESS
2017 Fall Term
3 Units
Marketing 731
Applications of advanced statistical methods to managerial problems of prediction, inference, parametric and nonparametric, and decision making under uncertainty. Topics emphasized are multiple regression and time series.
Other Requirements: PREREQ: GRADUATE STATUS AND DEMONSTRATED PROFICIENCY IN MATHEMATICS AND STATISTICS OR ECON 703, OR MATH 143 AND ECON 245
Class Schedule
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
| Section Details |
Meeting Details & Topic |
Instructor |
Syllabus |
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01-LEC 4204
3 Units
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09/06 - 12/22
(1)
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W 6:30 PM - 9:00 PM
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Maxwell Hsu
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 HH3202
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In addition to the textbook, this class requires the use of the statistical analysis software SPSS. SPSS can be accessed free via the virtual lab application provided by UWW. It is recommended that students test the virtual lab application before the start of class. If you are not comfortable with the virtual lab application for any reason, you can purchase a personal license for the SPSS software. The cost of the license varies from $45-90 depending on the term of license and other factors.
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22-LEC 4205
3 Units
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09/06 - 12/22
(1)
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Pavan Chennamaneni
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WEB BASED
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Online graduate courses in CoBE will be billed at $637.43 per credit for all students. Students must access to the Internet and an Internet browser. In addition to the textbook, this class requires the use of the statistical analysis software SPSS. SPSS can be accessed free via the virtual lab application provided by UWW. It is recommended that students test the virtual lab application before the start of class. If you are not comfortable with the virtual lab application for any reason, you can purchase a personal license for the SPSS software. The cost of the license varies from $45-90 depending on the term of license and other factors. A Webcam may be required for remote exam monitoring.
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