Interactive Demo
Hypothesis Testing Visualizer
Hypothesis Testing Visualizer is a free, interactive learning demo from the Introductory Statistics course on Lykke. It helps you build intuition for Null Hypothesis (H0), Alternative Hypothesis (Ha), P-value, Significance Level (Alpha). Play with it directly in your browser — it features 4 sliders. This demo lives in the “Hypothesis Testing with One Sample” section of the course.
How to use this demo
- Drag the “Significance Level (α) 0.05”, “Effect Size (Δμ) 2.0”, “Sample Size (n) 30” sliders to change the inputs and watch the result update live.
- Experiment freely — there's nothing to break, and every change is reversible.
What you'll explore
- Null Hypothesis (H0)
- Alternative Hypothesis (Ha)
- P-value
- Significance Level (Alpha)
- Type I and II Errors
Frequently asked questions
What does the Hypothesis Testing Visualizer demo do?
The formal process for testing claims about a population using a single sample. Hypothesis Testing Visualizer turns that idea into something you can manipulate directly and watch respond.
What Introductory Statistics concept does Hypothesis Testing Visualizer teach?
The formal process for testing claims about a population using a single sample. It focuses on Null Hypothesis (H0), Alternative Hypothesis (Ha), P-value, Significance Level (Alpha), Type I and II Errors from the “Hypothesis Testing with One Sample” section.
What can I control in Hypothesis Testing Visualizer?
The “Significance Level (α) 0.05”, “Effect Size (Δμ) 2.0”, “Sample Size (n) 30” sliders change the key inputs. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.
How does Hypothesis Testing Visualizer fit into the Introductory Statistics course?
Introductory Statistics 2e is a comprehensive, open-source course designed for a one-semester introduction to statistics. The curriculum focuses on practical applications across diverse fields such as business, healthca… This demo is the interactive piece for the “Hypothesis Testing with One Sample” section. Open the full Introductory Statistics course wiki at https://www.getlykke.com/explore/public/introductory-statistics-a4146afb-5db4-4b78-bb6a-8cef9d5ce9e0 for notes, flashcards, quizzes and the other demos.
What will I understand better after using Hypothesis Testing Visualizer?
You'll build intuition for Null Hypothesis (H0), Alternative Hypothesis (Ha), P-value, Significance Level (Alpha), Type I and II Errors — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Introductory Statistics alone.
From the Introductory Statistics course
This interactive demo is part of the Hypothesis Testing with One Sample section. Explore the full Introductory Statistics course wiki on Lykke — with notes, flashcards, quizzes and more interactive demos.
Open the Introductory Statistics course →