Interactive Demo
Significance Testing Visualizer
Significance Testing Visualizer is a free, interactive learning demo from the Statistics and Probability course on Lykke. It helps you build intuition for Null and Alternative Hypotheses, P-values, Significance Level (Alpha), Type I and Type II Errors. Play with it directly in your browser — it features 4 sliders. This demo lives in the “Significance Testing” section of the course.
How to use this demo
- Drag the “Observed Effect 1.5”, “Sample Size (n) 30”, “Alpha (α) 0.05” 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 and Alternative Hypotheses
- P-values
- Significance Level (Alpha)
- Type I and Type II Errors
- Statistical Power
Frequently asked questions
What does the Significance Testing Visualizer demo do?
The formal process of hypothesis testing to evaluate claims about a population. Significance Testing Visualizer turns that idea into something you can manipulate directly and watch respond.
What Statistics and Probability concept does Significance Testing Visualizer teach?
The formal process of hypothesis testing to evaluate claims about a population. It focuses on Null and Alternative Hypotheses, P-values, Significance Level (Alpha), Type I and Type II Errors, Statistical Power from the “Significance Testing” section.
What can I control in Significance Testing Visualizer?
The “Observed Effect 1.5”, “Sample Size (n) 30”, “Alpha (α) 0.05” 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 Significance Testing 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 “Significance Testing” 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 Significance Testing Visualizer?
You'll build intuition for Null and Alternative Hypotheses, P-values, Significance Level (Alpha), Type I and Type II Errors, Statistical Power — 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 Significance Testing 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 →