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Central Connecticut State University

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Detailed Course Information

 

Spring 2018
Feb 20, 2018
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STAT 520 - Multvriate Anlsis Data Mining
Multivariate Analysis for Data Mining Fall. Prereq.: Two semesters of applied statistics (such as STAT 104/453, STAT 200/201, or STAT 215/216), or two semesters of statistics approved by advisor, or permission of department chair. Concept-based introduction to multivariate analysis, useful for data mining and predictive modeling, with emphasis given to interpreting output and checking model assumptions using one of the standard statistical packages. Topics may include: multivariate normal distribution, simultaneous inferences, one-and two-way MANOVA, multivariate multiple regression and ANACOVA, correlation, principle component and factor analysis, discriminant analysis, cluster analysis and multidimentional scaling, path analysis, structural equation modeling, and longitudinal data analysis.

4.000 Credit hours
4.000 Lecture hours

Schedule Types: Hybrid: Online/On-Ground Combo, Independent Study, Lecture, Online Instruction

Mathematics Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
      Doctorate

Prerequisites:
(Graduate level STAT 104 Minimum Grade of C and Graduate level STAT 453 Minimum Grade of C) or (Undergraduate level STAT 104 Minimum Grade of D- and Undergraduate level STAT 453 Minimum Grade of D-) or (Graduate level STAT 200 Minimum Grade of C and Graduate level STAT 201 Minimum Grade of C) or (Undergraduate level STAT 200 Minimum Grade of D- and Undergraduate level STAT 201 Minimum Grade of D-) or (Graduate level STAT 215 Minimum Grade of C and Graduate level STAT 206 Minimum Grade of C) or (Undergraduate level STAT 215 Minimum Grade of D- and Undergraduate level STAT 216 Minimum Grade of D-)

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