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Modern Statistics With Software | Welcome

MAT 241 - Modern Statistics with Software (R)

Syllabus (Spring 2026)

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 all required software and packages for this course. If you are a student planning to complete this course with a Chromebook or tablet, then you may create a Posit Cloud account and copy this pre-built Posit Cloud Workspace to utilize R and RStudio from a web-browser.

Still not quite sure what to expect? Check out this in-browser version of the Day 1 Material

Course Timeline and Notebooks

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.

Class Meeting Before Class During Class After Class
1 Review Syllabus
Setup Software
Introduction and What to Expect (Slides)
Troubleshooting
Data Exploration (html, or Quarto)
 
2 01_IntroToData Austin Housing Dataset (html or Quarto)
Companion Slides
MyOpenMath HW 1
3 02_IntroToR Getting Familiar with R
Austin Housing (Cont’d)
Companion Slides
 
4 03_DescriptiveNumCat Exploring and Describing Data
Austin Housing (Cont’d)
Companion Slides
MyOpenMath HW 2
5 04_DataViz Data Visualization
Austin Housing (Cont’d)
Companion Slides
 
6 05_DiscreteDistributions Probabilities and Simulation
Doris and Buzz (html or Quarto)
or Companion Slides
 
7 06_NormalDistributions Probabilities and Normal Distributions
MyOpenMath Problems (html or Quarto)
or Companion Slides
MyOpenMath HW 4
8   Discrete Distributions Lab 07_DiscreteDistributionsLab
or Mixed Probability Practice
Exit Ticket
 
9   Normal Distributions Lab 08_NormalDistributionLab
or Mixed Probability Practice
Exit Ticket
 
10   Exam I, Part I (Group)  
11   Exam I, Part II (Individual)  
12 09_FoundationsForInference More on the Sampling Distribution 10_IntroInferenceLab,
or Companion Slides
MyOpenMath HW 5
13 11_HTandCIprop Hypothesis Tests and Confidence Intervals for Proportions
Companion Slides
 
14 12_InferencePractice Inference for Categorical Data (html or Quarto)
Companion Slides
MyOpenMath HW 6
15   Inference for Categorical Data Lab 13_InferenceCategoricalLab
Exit Ticket
 
16 14_ChiSquare Inference for More than Two Proportions (html or Quarto) or
Companion Slides
MyOpenMath HW 7
17 15_HTandCInum Hypothesis Tests and Confidence Intervals for One or Two Means (html or Quarto) or
Companion Slides
 
18   Additional Inference Practice, Day I 16_InferencePractice
Practice Problems
Exit Ticket
 
19   Additional Inference Practice, Day II 16_InferencePractice (Cont’d)
Practice Problems
Two Examples and Discussion on Error Types
Exit Ticket
MyOpenMath HW 8
20   Additional Inference Practice, Day III 16_InferencePractice (Cont’d)
Practice Problems
“Answer” Key
Exit Ticket
 
21   Inference for Numerical Data Lab 17_InferenceNumericalLab
Slides on Reading Software Output
MyOpenMath HW 9
22   Exam II, Part I (Group)  
23   Exam II, Part II (Individual)  
24 18_ANOVA ANOVA and Linear Regression (html or Quarto) or
ANOVA and Linear Regression Slides
 
25   Linear Regression Lab 19_LinearRegression
and Review
MyOpenMath HW 10
26   Review  
27   Final Exam, Part I  
28   Final Exam, Part II (Optional)  

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