Significance Tests & p-values
by Anonymous
Simulate outcomes under the null hypothesis to estimate the p-value, then shift the significance level Ξ± to find where the decision flips.
#math#hypothesis#significance#highschool#statistics#probabilitystatistics#mathpractice#highschool_math#education
About this app
Significance Tests & p-values is an interactive statistics lesson built around 20 coin flips. Explore how observed heads counts compare with the expected value of 10, simulate many fair-coin trials to estimate the p-value, and change the significance level Ξ± to see when the testing decision changes.
Use cases
- High school students learning hypothesis testing
- Teachers demonstrating p-values and null hypotheses
- Learners exploring probability through coin-flip simulations
- Classroom practice with significance levels and statistical decisions
Features
- Adjustable observed heads count for 20 flips
- Interactive fair-coin flip comparisons
- Simulation controls for 1, 10, or 100 trials
- Distribution display with highlighted extreme outcomes
- Estimated p-value based on accumulated simulations
- Reject or fail-to-reject decisions using adjustable Ξ±