A continuation of Statistics 113 intended for students in the physical, social or behavioral sciences. Topics include simple and multiple linear regression, model diagnostics and testing, residual analysis, transformations, indicator variables, variable selection techniques, logistic regression, and analysis of variance. Most methods assume use of a statistical computing package. Prerequisite: STAT 113 or ECON 200 or permission of instructor.
Instructor
    
      Robin Lock
          
      Semester:    
        Fall 2025
                
      Course Code:    
                  STAT / MATH 213
              
      Subject:    
        Applied Statistics
              Mathematics
                Readings
Course Readings - Paper - MATH 213 / STAT 213
      Location:    
                  ODY Circulation-Reserves Desk
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