Description: Hours: Three hours lecture in the lab per week
Prerequisite: MATH 101 or MATH 104 or MATH 105 and Junior Standing 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.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|
Key for Course Detail Icons
 = Course Open |
 = Course Closed |
 = Course Details |
 = Textbook Info |
 = General Education |
 = Extended University |
 = Service Learning |
 = In Person |
 = Asynchronous Online |
 = Synchronous Online |
 = Synchronous/Asynchronous |
 = Blended |
 = No Cost Course Materials |
 = Low Cost Course Materials |