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This course will introduce the student to statistical programming and simulation using R. Students will first understand variables, data structures, program flow (e.g., conditional execution, looping) and functional programming, then apply these skills to answer interesting statistical questions involving the comparison of groups. Most statistical analysis will be motivated via simulations, rather than mathematical theory. The course content (programming and data analysis) requires significant outside reading and programming.

Course #:
APSTA-GE 2352
Credits:
3

Professors

Professor Marc Scott

Marc Scott

Professor of Applied Statistics; Co-Director of PRIISM