Significance Tests & p-values
by Anonymous · ⭐ 1 · 🍴 0
If a coin lands heads 15 out of 20 times—is it chance or not? Build a simulated distribution under the null hypothesis to estimate the p-value, then change the significance level α and see when the decision flips.
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About this app
An interactive statistics lesson that uses a 20-flip coin example to introduce significance testing and p-values. Explore how observed heads counts compare with a fair-coin expectation, build a simulated sampling distribution, and change the significance level α to see when the verdict changes between reject and fail to reject.
Use cases
- High school students learning hypothesis testing
- Teachers demonstrating p-values with classroom simulations
- Learners exploring random variation in coin-flip results
- Anyone practicing the relationship between p-values and α
Features
- Adjust the observed number of heads across several values
- Run 20-flip fair-coin simulations in batches of 1, 10, or 100
- Visualize the distribution of simulated head counts
- Highlight simulations at least as extreme as the observation
- Compare estimated p-values with adjustable significance levels
- Record reject or fail-to-reject judgments as α changes