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BIA 2610 - Statistical Methods
The application of collecting, summarizing, and analyzing data to make business decisions. Topics include measures of central tendency, variation, probability theory, point and interval estimation, correlation and regression. Computer applications emphasized.
3.000 Credit hours

Levels: Undergraduate
Schedule Types: Combined Lecture/Lab

Info Systems & Analytics Department

Course Attributes:
Tutoring Courses, College of Business Course Fee, Credit from 4-Year College

Prerequisites:
for MATH PRESCRIBED

General Requirements:
DSPM 4
May not be taken concurrently.  )
or
XDM 4
May not be taken concurrently.  )
or
SAIL 5
May not be taken concurrently.  )
or

Course Attribute: XDM3
Minimum Grade of D-
May not be taken concurrently.  )
or

Course Attribute: XLM5
Minimum Grade of D-
May not be taken concurrently. )


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Release: 8.7.2.4