Pinned Repositories
BYUI_M221_Book
Converted 221 Wiki to Rmarkdown
byuistats.github.io
coding_challenge
A short coding challenge for interview candidates of CSE 250, CSE 350, and Math 335
data
Data used in BYU-I statistics courses
DS350RmdTemplate
M221R
Introductory Statistics in R
Math221D_Course
This repo contains all the files for Math 221D that cover all topics for Introductory Statistics
Math326_Quarto4
Math326 Design and Analysis of Experiments text book. First attempt using quarto (instead of Rmarkdown)
Statistics-Notebook
This began as the textbook for Intermediate Statistics (Math 325) at BYU-Idaho. It aims to become a personal notebook for performing and interpreting statistical analyses in R. Contributions and ideas for improvement are welcome.
timeseries
Course material for BYU-I Time Series
byuistats's Repositories
byuistats/data
Data used in BYU-I statistics courses
byuistats/BYUI_M221_Book
Converted 221 Wiki to Rmarkdown
byuistats/Statistics-Notebook
This began as the textbook for Intermediate Statistics (Math 325) at BYU-Idaho. It aims to become a personal notebook for performing and interpreting statistical analyses in R. Contributions and ideas for improvement are welcome.
byuistats/byuistats.github.io
byuistats/Math326_Quarto4
Math326 Design and Analysis of Experiments text book. First attempt using quarto (instead of Rmarkdown)
byuistats/timeseries
Course material for BYU-I Time Series
byuistats/coding_challenge
A short coding challenge for interview candidates of CSE 250, CSE 350, and Math 335
byuistats/DS250-Cannon
byuistats/DS350RmdTemplate
byuistats/M221R
Introductory Statistics in R
byuistats/Math221D_Course
This repo contains all the files for Math 221D that cover all topics for Introductory Statistics
byuistats/Math326_Notebook
A book (in the form of a website) built for use with Math326, Design and Analysis of Experiments.
byuistats/DS250-Comeau
byuistats/Math221D_Cannon
This began as the textbook for Intermediate Statistics (Math 325) at BYU-Idaho. It aims to become a personal notebook for performing and interpreting statistical analyses in R. Contributions and ideas for improvement are welcome.