Statistics Basics

Welcome to the Statistics Basics repository! This repository contains a comprehensive summary of fundamental statistics concepts, techniques, and practical applications. Whether you're a beginner or looking to enhance your skills, this resource will guide you through essential statistical methods and tools.

💡 Pro Tip: Star this repository to keep it handy for future reference!

📚 Table of Contents

1. Introduction to Statistics

• What is Statistics?
• Importance of Statistics
• Types of Data

2. Descriptive Statistics

• Measures of Central Tendency
• Measures of Dispersion
• Data Visualization

3. Probability

• Probability Basics
• Rules of Probability
• Discrete and Continuous Distributions

4. Inferential Statistics

• Sampling Techniques
• Confidence Intervals
• Hypothesis Testing

5. Regression Analysis

• Simple Linear Regression
• Multiple Regression
• Logistic Regression

6. Advanced Topics

• ANOVA and MANOVA
• Time Series Analysis
• Bayesian Statistics

7. Applications of Statistics

• In Business and Finance
• In Healthcare
• In Machine Learning

ℹ️ About

This repository is a comprehensive resource designed to serve as a learning tool and quick reference for anyone studying statistics. Each section contains clear explanations, practical examples, and interactive exercises.

❓ How to Use

Explore any topic in the Table of Contents to access detailed notes and examples. Each section is organized into Markdown files for easy navigation and customization.

🚩 Contributing

Contributions are welcome! If you have suggestions for enhancements or additional topics, feel free to open an issue or submit a pull request.

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.