OpenIntro Labs promote the understanding and application of statistics through applied data analysis. Labs are titled based on topic area, which correpond to particular chapters in all three versions of OpenIntro Statistics, a free and open-source textbook. The textbook as well as the html version of the labs can be found at http://www.openintro.org/stat/labs.php.
This repository is a fork of the tidyverse OpenIntro labs, converted to Stata by Jenna Krall. Information about the datasets can be found in the [
-tidy](https://github.com/OpenIntroStat/oilabs-tidy) repository.
We currently support our source files in the .Rmd format, which can be output into
html format (though output to pdf is also possible). The source files are processed
using the knitr package in R.
Stata must be installed to edit and recompile the labs.
To update the Stata labs, you need to first install the statamd package in R
from https://github.com/muschellij2/statamd:
library(devtools)
install_github("muschellij2/statamd")
It is our hope that these materials are useful for instructors and students of statistics. If you end up developing some interesting variants of these labs or creating new ones, please let us know!
- Introduction to Stata
- Introduction to data
- The normal distribution
- Probability
- Foundations for statistical inference - Sampling distributions
- Foundations for statistical inference - Confidence intervals
- Inference for numerical data
- Inference for categorical data
- Introduction to linear regression
- Multiple linear regression
Your feedback is most welcomed! If you have suggestions for minor updates (fixing typos, etc.) please do not hesitate to issue a pull request. If you have ideas for major revamp of a lab (replacing outdated code with modern version, overhaul in pedagogy, etc.) please create an issue so to start the conversation.