Metropolitan State University

STAT 252 : Statistics Programming

A. Course Description
Credits: 2
Prerequisites: STAT 201 Statistics I  
Lab Hours/ Weeks: Corequisites: None
Lecture Hours/ Week :  
MnTC Goals: None
 
This course covers advanced statistical programming techniques in hypothesis testing using the statistical software SPSS and R. Topics of this course include performing T-tests, Z-tests, Chi-square tests, and simple linear regression using SPSS and R. This course builds on the knowledge learned in STAT201 (Statistics I) and STAT251.
B. Course Effective Dates: 08/16/2016 - Present
C. Outline of Major Content Areas:
See Course Description for major content areas.
D. Learning Outcomes (General)
  1. Understand the syntax of the statistical programming languages SPSS and R.
  2. Conduct hypothesis tests using the statistical programming languages SPSS and R.
  3. Generate confidence intervals using the statistical programming languages SPSS and R.
  4. Generate statistical analysis reports with the correct formats using the statistical programming languages SPSS and R.
  5. Explain the output from a statistical analysis generated by the statistical program both orally and in written form.
E. Learning Outcomes (MN Transfer Curriculum)
This contains no goal areas.
G. Special Information
Note: First day attendance required except by instructor permission.