Educational Apps

Interactive Learning Tools for Statistics

Overview

I develop interactive web applications to help students visualize and understand statistical concepts. These tools are built with R Shiny and designed to make learning statistics more intuitive and engaging.

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Probability Distributions

Discrete Probability Distributions

Interactive visualization of binomial and geometric distributions

An educational tool for exploring fundamental discrete random variables commonly taught in introductory statistics courses.

Features:

• Binomial Distribution: Visualize the number of successes across n independent trials
• Geometric Distribution: Explore the number of trials needed for the first success
• Adjustable parameters (success probability, number of trials)
• Probability mass function (PMF) graphs
• Probability distribution tables
• Maximum probability highlighting

Tech Stack: R, Shiny, Plotly, Bootstrap 5

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Coming Soon

More educational applications are in development. Stay tuned!

• Continuous probability distributions
• Central limit theorem demonstration
• Hypothesis testing visualizer

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About These Tools

These applications are designed to supplement classroom instruction and self-study. They aim to:

• Make abstract statistical concepts concrete through visualization
• Allow students to explore "what if" scenarios by adjusting parameters
• Provide immediate feedback on how distributions change
• Support both individual learning and classroom demonstrations