Class Number: 1090
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 |
|---|---|---|---|---|
| TTH | 09:00 AM - 10:15 AM | 01/21/2012 - 05/18/2012 | Aliso Hall 134 | Matthew Wiers |
Status: Closed
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Start Date: 01/21/2012
End Date: 05/18/2012
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 25
Available Seats: 0
Wait List Capacity: 5
Wait List Total: 0
Enrollment Information
- Upper Division
- B4: Math - Quantitative Reason
Notes
- $25 course fee required
- This course has a recommended Math 399 lab. Please register for Math 399 section 01 (course #1096) or section 07 (course #1102).