STAT 252

Statistics Programming

2 Undergraduate credits
Effective August 16, 2016 – Present

Graduation requirements this course fulfills

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.

Prerequisites

Special information

Note: First day attendance required except by instructor permission.

Learning outcomes

General

  • Understand the syntax of the statistical programming languages SPSS and R.
  • Conduct hypothesis tests using the statistical programming languages SPSS and R.
  • Generate confidence intervals using the statistical programming languages SPSS and R.
  • Generate statistical analysis reports with the correct formats using the statistical programming languages SPSS and R.
  • Explain the output from a statistical analysis generated by the statistical program both orally and in written form.