MAS 261
  • This website provides PERMANENT access to MAS 261 lecture slides, notes, and R code files, regardless of access to Blackboard.
  • Syllabus and Course Links
  • Lectures 1-9
  • Lectures 13-20
  • Lectures 21-27
  • Installing R and Rstudio
This website was last updated on Saturday, January 10, 2026.
Fall 2025 Syllabus
  • Syllabus is updated at the end of the most recent completed semester.

Contact Information: Professor Pooler (pspooler@syr.edu) - Office: WSOM Room 518
NOTES:
  • This is the permanent version of Professor Pooler’s MAS 261 Course Website and is only updated at the end of the semester or when substantial changes are made to the material during the semester.

  • Homework assignments and ‘Practice Questions’ for tests are not posted on the permanent MAS 261 Website.

  • Lectures that are solely devoted to review and preparation for mid-semester tests and the final exam are also not available on the permanent website.

    • Missing lecture numbers are associated with review lectures and in-class test days.
Read this letter about AI
  • Using AI in coding and writing is commonplace and helpful if used cautiously and ethically.

  • This is a great ‘letter’ from a high school student who ‘broke up’ with AI because she felt it was supplanting her own voice. It’s worth your time to read and consider it.

Useful Software Links
  • Posit Cloud
  • R
  • RStudio
  • Quarto
  • RPubs
OPTIONAL Software Training
  • LinkedIn Learning - Free for Syracuse University Students, Staff, and Faculty

    • R for Data Science: Analysis and Visualization - This training is optional and provides a good introduction to R and RStudio which are used in this course.

    • Python Essential Training - Python is not used in this course but it is helpful for analytics and data science.


  • DataCamp - An excellent (but not free) online learning center for many software packages. Costs can be subsidized (see below).

  • Whitman WIRE Initiative
    • The WIRE initiative will subsidize costs of online software training that results in certification.

    • Contact their office to arrange a meeting and develop a plan.


  • SU Open Source Program Office (OSPO) - OSPO offers workshops in open source software such as R/RStudio, Python, Github and facilitates communication between open source software users on campus.

MAS 261 Student Files for Lectures 1-8 - R Project on Posit Cloud - Click link to open file in your Posit Cloud and save it. Once file is saved to your account, you should not click this link again.

  • Note: To make formatted tables in your .qmd more visible in the file output, add the following text after kable() |> kable_styling(full_width = F)

  • VIDEO - Creating a FREE Posit Cloud Account
  • VIDEO - Intro to Accessing Student Lecture R files in Posit Cloud
  • VIDEO - OPTIONAL Useful Modifications to the Global Options in RStudio
  • VIDEO - Navigating and R File and Running Code in an R .qmd File in Posit Cloud
  • VIDEO - OPTIONAL - Rendering and Printing an R. .qmd File in Posit Cloud
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Data Distributions
  • Lecture 9 - Central Limit Theorem
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 8 - Sampling Distribution of the Sample Mean / CLT
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 7 - Empirical Rule / Finding X from a Probability
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 6 - Introduction to the Normal Distribution
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.
Describing Data
  • Lecture 5 - Visualizing Categorical and Quantitative Data
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 4 - Data Visualizations, Boxplots, Outliers
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.
  • Lecture 3 - Measures of Variability
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 2 - Measures of Central Tendancy
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 1 - Course Introductions and Types of Data
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

MAS 261 Student Files for Lectures 13-20 - R Project on Posit Cloud - Click link to open file in your Posit Cloud and save it. Once file is saved to your account, you should not click this link again.

  • Note: To make formatted tables in your .qmd more visible in the file output, add the following text after kable() |> kable_styling(full_width = F)
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My User Name: penelopepoolereisenbies685


Hypotheses and Correlations
  • Lecture 20 - Introduction to Correlation and Covariance
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 19 - Contingency Tables and Two Sample Tests of Proportions
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.
  • Lecture 18 - Two Sample t-Tests and Confidence Intervals
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 17 - Language of Hypothesis Testing/One Sample t-tests
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

Estimates and Confidence
  • Lecture 16 - Proportions, Percentages and Confidence Intervals
    • Slides
    • Notes
    • PDF
    • t-Table
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 14 - Effect of Sample Size and Confidence level on Confidence Intervals
    • Slides
    • Notes
    • PDF
    • t-Table
    • Posit Cloud
      • Your saved file with your work will be in your account.

  • Lecture 13 - Intro. to the t Distribution and Confidence Intervals
    • Slides
    • Notes
    • PDF
    • Posit Cloud
      • Your saved file with your work will be in your account.

MAS 261 Student Files for Lectures 21-28 - R Project on Posit Cloud - Click link to open file in your Posit Cloud and save it. Once file is saved to your account, you should not click this link again.

  • Note: To make formatted tables in your .qmd more visible in the file output, add the following text after kable() |> kable_styling(full_width = F)
Poll Everywhere

My User Name: penelopepoolereisenbies685


Linear relationships
  • Lecture 27 - Introduction to Linear Transformations
    • Slides
    • Notes
    • PDF
    • Course Evaluations

  • Lecture 26 - Multiple Linear Regression
    • Slides
    • Notes
    • PDF

  • Lecture 25 - Simple Linear Regression Continued
    • Slides
    • Notes
    • PDF

  • Lecture 24 - Introduction to Simple Linear Regression
    • Slides
    • Notes
    • PDF

  • Lecture 21 - Introduction to Portfolio Management
    • Slides
    • Notes
    • PDF

Notes
  • Students in MAS 261 are NOT required to install R and RStudio on their laptop but they are welcome to.

  • R and RStudio are two separate software components. Download and install R and then download and install RStudio.

  • When updating your version of R or RStudio, uninstall the previous version first.

Downloading and Installing R
  • R can be downloaded from the Comprehensive R Archive Network

  • Video Demo for downloading and installing R on a Windows OS
  • Mac installation is similar.

  • If you do not need to uninstall an out-of-date version of R, skip to 0:53.

  • The version shown in the video is from August of 2024 and is out-of-date.

  • The current version of R is 4.5.2.


Downloading and Installing RStudio
  • RStudio can be downloaded from Posit, the parent company of RStudio.

  • Video Demo for downloading and installing RStudio on a Windows OS
  • Mac installation is similar.

  • If you do not need to uninstall an out-of-date version of RStudio, skip to 0:56.

  • The version shown in the video is from August of 2024 and is out-of-date.

  • The current version of RStudio is 2026.1.0.392.