IntroStat is an open-source statistical package written in Python and PyQt5 for introductory and intermediate statistics. It offers a "plain-text" approach to statistical analysis and relatively has no learning curve. It can serve as a useful tool for teaching and learning statistics. Also, it can be used for preliminary data analysis.

• Descriptive statistics
  • Frequency distribution
  • Summary statistics
    • Ungrouped data
    • Grouped data
• Probability distribution
  • Bayes' rule (two events)
  • Binomial distribution
  • Poisson distribution
  • Normal distribution
• Statistical tests
  • Chi-square test of independence with Fisher's exact test
  • McNemar test
  • T-test
    • One-sample
    • Two-sample
    • Paired
  • One-way ANOVA
  • Correlation
    • Pearson
    • Spearman
    • Kendall
  • Simple linear regression

Windows

Contributions in any form are welcome, including:

• Documentation
• Bug reports
• Additional features

You can contact the author via any of the following e-mail addresses:

• GMail
• Chrisland University

This project is based on Introduction to Biostatistics course taught by the author in Chrisland University, Abeokuta, Nigeria.

If you want to support this project, you can donate here.

Thank you!