This is a homepage for MAT241, Modern Statistics with Software, with Dr. Gilbert at Southern New Hampshire University. This course covers an introduction to data, exploratory data analyses and data visualization, one- and two-sample inference via confidence intervals and hypothesis testing for both proportions and means, chi-squared tests for goodness of fit and independence, ANOVA for comparisons of multiple group means, and introduces linear regression. The course also provides and introduction to R, the use of which is embedded throughout the semester.
Course Description: This is a fundamental course in modern-day data, data visualization, and the application of statistical techniques to analyze and make inferences from sample data. In a world where data is being constantly collected, it is necessary for individuals to be data literate, to have exposure to the power of data, and to understand as well as practice proper and ethical analyses with data. In a world where data has become abundant, rather than scarce, statistical tools are evolving. This course looks at modern statistical techniques in the age of “Big-Data”.
Software Use: Students in this course should expect to use R and RStudio locally. I’ve written setup instructions for both Windows and Mac users. If you are a student planning to complete this course with a Chromebook or tablet, then you may create a Posit Cloud account and use RStudio from the web, but you should see me about expectations for exams.
Below is a tentative timeline for our course. It includes preparatory work that should be done prior to each class meeting, a description of what to expect during a given class meeting, and assignments following each class meeting. The preparatory work consists of interactive R notebooks and is accessed via the tutorials tab of the rop-right pane in RStudio on Posit.cloud directly from your web-browser. The table below contains links to each activity.
Syllabus (Fall 2026)