Class Number: 2779
Description: Hours: Three hours lecture in the lab per week
Prerequisite: MATH 101 or MATH 104 or MATH 105 and successful completion of Golden Four GE Areas (1A, 1B, 1C, 2)
Description: Applications of modern statistical methods used in business analysis and economics, especially in experimental data evaluation and decision making contexts. Topics include: sampling, probability, various distributions, correlation and regression, statistical inferences, hypothesis testing, problem solving and the consequences to underlying economical systems. Includes a project in the community.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| ARR | 03/26/2018 - 05/19/2018 | Online | Matthew Wiers |
Status: Open
Session: Extended Session 11
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Start Date: 03/26/2018
End Date: 05/19/2018
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 38
Available Seats: 7
Wait List Capacity: 0
Wait List Total: 0
Enrollment Information
- Upper Division
- B4: Math - Quantitative Reason
Notes
- BS BUS ONLINE STUDENTS ONLY