Private Statistics Tutor List
|Alex Fout – firstname.lastname@example.org||All levels|
|Dan Mork – Daniel.Mork@colostate.edu||All levels|
|Michael Creutzinger – email@example.com||200 – 300 level|
|Connor Gibbs – firstname.lastname@example.org||200 -300 level|
|Mantautas Rimkus – Mantauc@colostate.edu||200-300 level|
|Tyler Aeschliman – email@example.com||300 level|
|Ian Taylor – Ian.Taylor@colostate.edu||All levels|
|Yilin Wang – firstname.lastname@example.org||200 – 300 level|
|Xiaoming Xu – email@example.com||200 – 300 level|
|Austin Ellingworth – firstname.lastname@example.org||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.