Statistics Calculator

Interactive statistics and machine learning playground built with Streamlit for exploring probability, distributions, hypothesis testing, confidence intervals, and ML models.

🌐 Live App | Tech Stack: Python, Streamlit, NumPy, pandas, SciPy, scikit-learn, Matplotlib, Plotly

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Features

📖 Theory & Probability

Statistical vocabulary, chart principles, probability rules, Central Limit Theorem, Law of Large Numbers, and Monty Hall simulation.

📊 Distributions

Discrete: Binomial, Poisson, custom probability distributions
Continuous: Normal (with inverse), Triangular, Uniform, Exponential

🎯 Confidence Intervals & Margin of Error

Calculate margin of error and inverse calculations for sample size determination.

🧪 Hypothesis Testing

Z-tests, t-tests, proportion tests, Chi-Square tests with visualizations and automatic p-value calculations.

🤖 Machine Learning

Supervised: Linear regression, gradient descent
Unsupervised: K-means clustering

🔍 Data Exploration

Exploratory data analysis tools for uploaded datasets.

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Quick Start

Prerequisites: Python 3.9+, uv

# Clone repository
git clone https://github.com/<your-username>/Stats-Calculator.git
cd Stats-Calculator

# Create virtual environment
uv venv .venv

# Activate (Windows)
.venv\Scripts\activate
# Activate (macOS/Linux)
source .venv/bin/activate

# Install dependencies
uv sync

# Run app
uv run streamlit run Introduction.py

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Project Structure

Stats-Calculator/
├── Introduction.py          # Home page
├── pages/                   # Streamlit pages
│   ├── 1_Theory.py
│   ├── 2_Distribution.py
│   ├── 3_Confidence_Interval.py
│   ├── 4_Hypothesis_Test.py
│   ├── 5_Machine_Learning.py
│   └── 6_Data_Exploration.py
├── distributions/           # Distribution calculators
├── hypothesis_test/        # Hypothesis testing tools
├── moe/                     # Margin of error calculators
├── ml/                      # Machine learning models
├── probability/             # Probability concepts
├── theorem/                 # Statistical theorems
├── theory/                  # Chart gallery & vocabulary
├── utils.py                 # Shared UI components
└── images/                  # Screenshots and assets

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Authors

• Minh (Mark) Pham – LinkedIn
• Hoan Nguyen – LinkedIn
• Giang(Gina) Nguyen - LinkedIn

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License

See LICENSE file for details.