The Probability Distribution Simulator is a versatile tool that allows users to visualize and analyze various probability distributions, including Normal, Binomial, Poisson, and more. It helps students, researchers, and analysts understand statistical distributions, model real-world scenarios, and make data-driven decisions.

Key Features

✅ Multiple Probability Distributions – Supports Normal, Binomial, Poisson, Exponential, and Uniform distributions.
✅ Interactive Graphs – Generates probability density (PDF) and cumulative distribution (CDF) curves.
✅ Custom Parameter Inputs – Adjust mean, standard deviation, sample size, and probability values.
✅ Real-Time Probability Calculations – Computes probabilities for given ranges or specific values.
✅ PDF Report Generation – Export distribution plots and statistical summaries for documentation.

Use Cases

📌 Students & Educators – Learn probability concepts and visualize distributions interactively.
📌 Data Scientists & Statisticians – Model real-world probability scenarios for predictive analysis.
📌 Business & Finance Analysts – Assess risk, forecast demand, and optimize decision-making.
📌 Quality Control & Operations – Analyze defect rates, process variations, and reliability testing.

How It Works

1️⃣ Select a Probability Distribution – Choose from Normal, Binomial, Poisson, or other distributions.
2️⃣ Input Parameters – Define mean, standard deviation, probability of success, or sample size based on the selected model.
3️⃣ Visualize Distribution – The tool generates probability density and cumulative distribution graphs.
4️⃣ Compute Probabilities – Enter a value or range to calculate the probability of occurrence.
5️⃣ Download PDF Report – Export statistical summaries and visualizations for further analysis.

This tool simplifies probability distribution analysis, making statistical modeling more intuitive, efficient, and accessible. 🚀