Interactive Demo
Sampling Distribution Visualizer
Sampling Distribution Visualizer is a free, interactive learning demo from the Statistics and Probability course on Lykke. It helps you build intuition for Parameters vs. Statistics, Sampling Distribution of a Proportion, Sampling Distribution of a Mean, Central Limit Theorem (CLT). Play with it directly in your browser — it features 2 sliders, 3 buttons and a live visual canvas. This demo lives in the “Sampling Distributions and the CLT” section of the course.
How to use this demo
- Drag the sliders to change the inputs and watch the visualization update in real time.
- Use the “Take 1 Sample”, “Take 100”, “Reset Distribution” buttons to trigger actions or reset the demo.
- Experiment freely — there's nothing to break, and every change is reversible.
What you'll explore
- Parameters vs. Statistics
- Sampling Distribution of a Proportion
- Sampling Distribution of a Mean
- Central Limit Theorem (CLT)
- Unbiased Estimators
Frequently asked questions
What does the Sampling Distribution Visualizer demo do?
Understanding how sample statistics vary and the power of the Central Limit Theorem. Sampling Distribution Visualizer turns that idea into something you can manipulate directly and watch respond.
What Statistics and Probability concept does Sampling Distribution Visualizer teach?
Understanding how sample statistics vary and the power of the Central Limit Theorem. It focuses on Parameters vs. Statistics, Sampling Distribution of a Proportion, Sampling Distribution of a Mean, Central Limit Theorem (CLT), Unbiased Estimators from the “Sampling Distributions and the CLT” section.
What can I control in Sampling Distribution Visualizer?
The sliders change the key inputs; the “Take 1 Sample”, “Take 100”, “Reset Distribution” buttons run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.
How does Sampling Distribution Visualizer fit into the Statistics and Probability course?
The Client Challenge course is a comprehensive curriculum in Statistics and Probability, designed to take learners from foundational data analysis to advanced statistical inference. The course covers the visualization a… This demo is the interactive piece for the “Sampling Distributions and the CLT” section. Open the full Statistics and Probability course wiki at https://www.getlykke.com/explore/public/statistics-and-probability-b71199d8-8b56-46fd-a7b9-599a91a064e1 for notes, flashcards, quizzes and the other demos.
What will I understand better after using Sampling Distribution Visualizer?
You'll build intuition for Parameters vs. Statistics, Sampling Distribution of a Proportion, Sampling Distribution of a Mean, Central Limit Theorem (CLT), Unbiased Estimators — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Statistics and Probability alone.
From the Statistics and Probability course
This interactive demo is part of the Sampling Distributions and the CLT section. Explore the full Statistics and Probability course wiki on Lykke — with notes, flashcards, quizzes and more interactive demos.
Open the Statistics and Probability course →