Tutorials

This section contains step-by-step tutorials for using Real Simple Stats in various scenarios.

Tutorial Overview

Our tutorials are designed to take you from basic concepts to advanced statistical analysis:

Basic Statistics Tutorial

Learn to calculate and interpret descriptive statistics like mean, median, standard deviation, and more.

Probability Analysis Tutorial

Explore probability calculations, combinations, permutations, and probability distributions.

Hypothesis Testing Guide

Master statistical hypothesis testing including t-tests, confidence intervals, and p-values.

Data Visualization Tutorial

Create meaningful statistical plots and charts to visualize your data.

Getting Started

Each tutorial includes:

  • Learning objectives - What you’ll learn

  • Prerequisites - What you need to know first

  • Step-by-step examples - Hands-on practice

  • Real-world applications - How to apply the concepts

  • Practice exercises - Test your understanding

Before You Begin

Make sure you have Real Simple Stats installed:

pip install real-simple-stats

For the tutorials, you might also want to install Jupyter:

pip install jupyter

Then you can run the example notebooks:

jupyter notebook examples/getting_started.ipynb

Tutorial Data

Most tutorials use sample datasets that are either:

  • Built into the examples - Small datasets for learning

  • Publicly available - Real-world data you can download

  • Generated programmatically - Synthetic data for specific scenarios

Next Steps

  1. Start with Basic Statistics if you’re new to statistics

  2. Jump to specific topics if you have experience

  3. Try the examples in your own Python environment

  4. Modify the code to work with your own data

Ready to begin? Choose a tutorial from the list above!