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For First Responders · A/B Test

A/B Test for an outlier scan

Built for first responders planning or training for real incidents. Run fast what-if scenarios for response planning and training — no software to install in the field. Simulate an outlier scan live below — adjust the inputs and watch it respond, right in your browser.

A/B Test SignificanceLive

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An A/B test compares two conversion rates to see if a difference is real or just noise. The two-proportion z-test pools the data to estimate the standard error, then a p-value below 0.05 signals a statistically significant difference. Bigger samples separate the two curves and make small lifts detectable.

▶ Run in Python

Data Inspector

Rate A10.00%
Rate B12.50%
Lift+25.0%
p-value0.0769
Resultnot significant

Governing equation

Reading this result: B looks 25.0% different, but with only 2,000 visitors p=0.077 — the sample is too small to call it real yet.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Frequently asked questions

Is this good for first responders?
Yes — this version of "A/B Test for an outlier scan" is framed for first responders planning or training for real incidents. Run fast what-if scenarios for response planning and training — no software to install in the field.
Do I need to install anything?
No. It runs in any modern browser, free, with no account required.