Choose a scenario, supply summary statistics, and the wizard calculates the test statistic, critical values, confidence interval, p-value, and a structured explanation of each step. The URL captures your selections and inputs for quick collaboration.
Results
Provide inputs and run the analysis to see the summary, interval, and decision.
Key metrics
Conclusion
How it is computed
P-value visual
Teacher notes
- Student’s t quantiles are derived via the regularised incomplete beta, matching textbook lookup tables even for small samples.
- Welch degrees of freedom, Wilson score, and Newcombe’s difference keep coverage accurate for unequal variances or proportions near the boundary.
- The shareable URL stores the scenario, summary statistics, tail choice, and confidence level so group members can replicate the report instantly.
FAQ
What does the p-value shading show?
The canvas shades the rejection region that corresponds to the numeric p-value. It is easy to explain why two-tailed tests shade both sides while one-tailed tests only shade the alternative.
How are the Wilson and Newcombe intervals computed?
Wilson score intervals apply the z critical value to the adjusted proportion. Newcombe combines two Wilson intervals to build the difference bounds without relying on a pooled approximation.
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