Private Statistics Tutor List
| Tutor Name | Courses |
|---|---|
| Alex Fout – fout.alex+tutoring@gmail.com | All levels |
| Dan Mork – Daniel.Mork@colostate.edu | All levels |
| Michael Creutzinger – creutzml@colostate.edu | 200 – 300 level |
| Connor Gibbs – connor.gibbs@colostate.edu | 200 -300 level |
| Mantautas Rimkus – Mantauc@colostate.edu | 200-300 level |
| Tyler Aeschliman – trevorsa@rams.colostate.edu | 300 level |
| Ian Taylor – Ian.Taylor@colostate.edu | All levels |
| Yilin Wang – ylwang@mail.colostate.edu | 200 – 300 level |
| Xiaoming Xu – xxm@rams.colostate.edu | 200 – 300 level |
| Austin Ellingworth – aelli15@colostate.edu | 200 – 300 level |
JMP Statistical Software
JMP is a modern, user-friendly, and powerful software package for conducting statistical analyses. We think it is the best choice for anyone who does not want to use a command-line language (such as R or Python) for conducting analyses.
The Statistics Department pays for a yearly university-wide educational site license for JMP, so that students, faculty, and staff may use it for education-related purposes free of charge. Students registering for a STAT course that uses JMP are sent a direct link and license from RamTech. Anyone else interested in using JMP for an educational purpose may contact RamTech to request a copy.
