STAT 252 Statistics Programming
This course covers advanced statistical programming techniques including data wrangling, data visualization and hypothesis testing using R. Topics of this course include R syntax, input and output in R, data visualization, interactive data graphics, data wrangling, tidy data, and hypothesis testing in R. This course builds on the knowledge learned in STAT201.
Note: Students whose prerequisites are not identified by the system should contact the Math and Statistics Department for an override at MATH@metrostate.edu.
2 Undergraduate credits
Effective August 16, 2016 to present
- Understand the syntax of the statistical programming language R.
- Conduct hypothesis tests using the statistical programming language R.
- Generate statistical analysis reports with the correct formats using the statistical programming language R.
- Explain the output from a statistical analysis generated by the statistical program both orally and in written form.
- Generate confidence intervals using the statistical programming language R.