For First Responders · Anomaly Detection
Anomaly Detection for a clinical trial
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 a clinical trial live below — adjust the inputs and watch it respond, right in your browser.
Probability DistributionsLive
PDF / PMF explorer
Controls
Presets
Data Inspector
Distributionnormal
Mean0.000
Variance1.000
Std dev1.000
Governing equation
Reading this result: The mean μ only slides the bell sideways while σ sets its width — variance is σ² = 1.00, so doubling σ quadruples the spread.
Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.
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k-Means ClusteringLive
Lloyd's algorithm · live
Controls
Presets
Lloyd's algorithm: assign each point to its nearest centroid, then move each centroid to the mean of its members. Repeat until stable. Try setting k different from the true cluster count.
Data Inspector
Iteration0
Inertia0.00e+0
k4
Governing equation
Reading this result: k matches the 4 true clusters, so each centroid can settle onto one real group and inertia falls to a clean minimum.
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 "Anomaly Detection for a clinical trial" 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.