Tutorials ========= This section contains step-by-step tutorials for using Real Simple Stats in various scenarios. .. toctree:: :maxdepth: 2 tutorials/basic_statistics tutorials/probability_analysis tutorials/hypothesis_testing_guide tutorials/data_visualization 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!