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Aug 31, 2024
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DS 251 Business Statistics for Decision Making
An introduction to the use of inferential statistics in making business decisions, emphasizing model building, real-world data sets, and statistical software. Topics include: one and two sample confidence intervals and hypothesis tests, ANOVA, chi-square tests and simple and multiple regression. The course focus is on business applications using real world data.
Credit 3 hrs May not be repeated for additional credit
Grade Mode Normal (A-F) Course Rotation Fall, Winter, and Summer (day and evening, online and F2F)
Prerequisites - DS 250 with a “C-” or higher
Restriction by Major -
Restriction by Class - Undergraduate standing
Equivalent Course(s) -
Course History -
New Course 6/2017, effective Fall 2017
Decision Science , business , management , marketing , technology
Summer 2024 Course Sections
Fall 2024 Course Sections
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