Course materials for Math/Stat 242

*(Largely adapted from my colleague Dr. Justice)*

By the end of this course, students will be able to navigate data-based claims that permeate our society and develop expertise to make informed data-based decisions. More specifically, students will:

Gain insight into the statistical process as they execute a basic statistical study

Develop expertise interpreting and critiquing a statistical study

Understand the basics and importance of statistical computing

Our textbook is Introduction to Modern Statistics 1st Ed..

We will have a total of 5 computer labs using R and RStudio. There will be dedicated class time to installing the software or setting up a cloud account. Those who feel comfortable doing so can download R and RStudio prior to the start of class.

The weekly schedule and other resources can be found on our Sakai site.

All materials needed for lab days can be found in the stat242 R package
(*package under construction as of 7/14/21*). Students can
install the package by running the code below in the console of RStudio
(requires the `remotes`` package). As with R and RStudio, there will be
dedicated time in class for this activity.

install.packages(“remotes”)

remotes::install_github(“npaterno/stat242”, build_vignettes = TRUE)

Each lesson related to the statistical computing part of the course can be found as a vignette in the help file or as a slidedeck. The corresponding assignments are available as RMarkdown templates.