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Institution:
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University of Wisconsin-Green Bay
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Subject:
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Description:
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A treatment of advanced topics in statistics applied to a wide variety of business problems. Topics include analysis of variance, linear regression, correlation, multiple linear regression elements of time series analysis, forecasting based on time series models, quality control techniques, survey sampling, analysis of enumerative data, non-parametric statistical methods and decision analysis. Practical business examples are used to illustrate and apply the advanced statistical techniques. Computer applications are included. P: Math 260 or Comm Sci 205 or Bus Adm 215. Periodicity: Offered every fall and spring 3 units min / 3 units max, Lecture
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(920) 465-2000
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Regional Accreditation:
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North Central Association of Colleges and Schools
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Calendar System:
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Semester
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