Learn statistical analysis as an aid in business decision making through the use of descriptive statistics, probability, confidence intervals, hypothesis testing, chi square, analysis of variance, regression and correlation analysis. Prerequisite: Eligibility for any general education math course. Note: Credit will not be given for ECO 232 and also BPA 232.
Term: Spring 2024
Course Type: Credit - 3 Credits
Section: 003 (Closed)
Ways to take the class: Face-to-face
Days: MW
Time: 12:30PM to 1:45PM
Start Date: 01/22/2024
End Date: 05/19/2024
Location: Arnold Campus
Room: CRSC 218
Building:
Careers Center
Instructor: Uzma Qureshi (Subject to change)
Class Size: 24
Section Info: This section is participating in the Direct Digital Access program. A course materials fee of $111.25 plus tax will be charged to your student account when you register. Your course materials will be accessible in Canvas on or before the first day of class. For more information, visit http://bit.ly/AACC-DDA.