Statistical Software Labs

Available Labs

Software Intro: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, SAS, Stata

Introduction to Data: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Getting Started with R and RStudio: R (Base)

Introduction to R Markdown: R (Base)

Introduction to Data: R (Base)

DDS Case Study: R (Base)

Golub Case Study: R (Base)

Arenosa Case Study: R (Base)

Probability: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Introduction to Probability: R (Base)

Conditional Probability: R (Base)

Positive Predictive Value (Bayes' Theorem): R (Base)

Probability Extended Practice: R (Base)

Normal Distribution: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Introduction to Random Variables: R (Base)

Distributions: Normal and Poisson: R (Base)

Distributions Related to Bernoulli Trials: R (Base)

Distributions for Pairs of Random Variables: R (Base)

Intro to Inference: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Confidence Intervals: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Sampling Variability: R (Base)

Confidence Intervals: R (Base)

Hypothesis Testing: R (Base)

Inference Concept Check: R (Base)

Inference for Categorical Data: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Inference for Numerical Data: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Two-Sample Tests: R (Base)

Statistical Power: R (Base)

Analysis of Variance (ANOVA): R (Base)

Multiple Testing: R (Base)

A Closer Look at the P-Value: R (Base)

Linear Regression: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Introduction to Least Squares Regression: R (Base)

Understanding R2: R (Base)

Categorical Predictors with Two Levels and Inference in Regression: R (Base)

Multiple Regression: R (Tidyverse), R (Base), Rguroo, Jamovi, JASP, Python, SAS, Stata

Introduction to Multiple Regression: R (Base)

Evaluating Model Fit: R (Base)

Categorical Predictors with Several Levels and Inference in Regression: R (Base)

Interaction: R (Base)

Model Selection for Explanatory Models: R (Base)

Inference for Binomial Proportions: R (Base)

Inference for Two-Way Tables: R (Base)

Simple Logistic Regression: R (Base)

Multiple Logistic Regression: R (Base)

R (Base), Useful Links

The statistical software R is a widely used and stable software that is free. RStudio is a user-friendly interface for R.

R (Tidyverse), Useful Links

In these labs, we make use of R statistical software and the tidyverse packages.

Rguroo, Useful Links

Rguroo is a cloud-based point-and-click web-application statistical software. It facilitates the teaching of statistical concepts and helps students learn by providing them with easy-to-use Rguroo toolboxes that save time in calculations, graphics, and statistical analyses. Rguroo does not require any download or installation; all you need is Internet and a web-browser. For more information, please see rguroo.com

Jamovi, Useful Links

Jamovi is free and open source software for conducting statistical analysis. It is built on the programming language R, and allows for a variety of statistical analyses. For more information, please see jamovi.org

JASP, Useful Links

JASP is free and open source software for conducting statistical analysis. It is built on the programming language R, and allows for a variety of statistical analyses. For more information, please see jasp-stats.org

SAS, Useful Links

SAS is an integrated software suite for advanced analytics, business intelligence, data management, and predictive analytics. The SAS University Edition provides free access to SAS statistical software, and includes a user-friendly interface that you can use to write and run SAS code through your web browser.

Stata, Useful Links

Stata versions of the OpenIntro labs have been developed by Jenna Krall.

Python, Useful Links

Python is one of the leading softwares for data Science. These labs have been put together by Dr. Vural Aksakalli and Imran Ture.