Lecture Slides
The following slides are derived from the OpenIntro Statistics slides.
1. Interactive (Shiny) Slides
These slides use tools from the R package learnr to integrate interactive R code blocks within the lecture slides in order to engage students in interactive coding examples and exercises during the lecture. Below we provide the link to the Shiny application hosting the slides for each chapter as well as the rmd source files that can be downloaded and customized.
Chapter 1 - Introduction to data - Shiny Link
Chapter 1 - Introduction to data - Source
Chapter 2 - Summarizing data - Shiny Link
Chapter 2 - Summarizing data - Source
Chapter 3 - Probability - Shiny Link
Chapter 3 - Probability - Source
Chapter 4 - Distributions - Shiny Link
Chapter 4 - Distributions - Source
Chapter 5 - Foundations for Inference - Shiny Link
Chapter 5 - Foundations for Inference - Source
Chapter 6 - Inference for categorical data - Shiny Link
Chapter 6 - Inference for categorical data - Source
Chapter 7 - Inference for numerical data - Shiny Link
Chapter 7 - Inference for numerical data - Source
Chapter 8 - Introduction to linear regression - Shiny Link
Chapter 8 - Introduction to linear regression - Source
Chapter 9 - Multiple and Logistic regression - Shiny Link
Chapter 9 - Multiple and Logistic regression - Source
2. PDF Slides
Here, we provide the slides in both pdf and R Markdown format. The markdown format allows for the instructor to easily customize the R codes and output embedded in the slides.
Chapter 1 - Introduction to data
Chapter 5 - Foundations for Inference
Chapter 6 - Inference for categorical data
Chapter 7 - Inference for numerical data