4 Units,  Graded A-E

Course Components: Lecture & Laboratory Required

Course Attributes: GEL Data Analysis

Description: Data analysis using cooperative learning environment; topics include data visualization, error analysis, error propagation, probability distributions, hypothesis testing, ANOVA, linear regression, and spatial statistics.
 

Prerequisites: Math 1151 or above, or concur: Math 1141, or permission of instructor. GE data anly course.