Sample Size Desk — how many you need, and how to assign them

Describe the comparison you are planning and set the test, effect size, alpha and power. The browser computes the sample size, the power curve, the minimum detectable effect and the enrolment after dropout and clustering - free, before you sign in - and generates a seeded randomisation schedule (simple, permuted blocks, stratified or cluster) with its balance facts. Two lanes over the same study: Justify writes the sample-size justification for a grant, IRB or pre-registration and judges the basis for the effect size and the adjustments; Layout judges the unit of randomisation, replication and nuisance factors and writes the design and randomisation section. Every figure the model writes is re-read against the browser engine, which was verified against R stats and pwr on 1,277 checks. Derived from the agent skills @k-dense-ai/statistical-power and @k-dense-ai/experimental-design (k-dense-ai/scientific-agent-skills, MIT).

Every public app is built from a security-scanned skill and must pass a clean scan — skill and frontend — before it can be listed. Have a skill of your own? Turn it into an app — or read the step-by-step walkthrough.