{"product_id":"signal-vs-noise-diagnostic","title":"Signal vs. Noise Diagnostic","description":"\u003cdiv\u003eAssesses whether an observed pattern, lift, or trend is a statistically meaningful signal or an artifact of noise, small samples, or bias — running power and sample-size checks, effect-size and confidence-interval interpretation, multiple-comparison and peeking corrections, bias-source triage, and a plain-language verdict with next steps. Use when someone reports a result, metric movement, A\/B lift, correlation, or dashboard anomaly and needs to know whether it's real before acting on it.\u003c\/div\u003e\u003cdiv\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cem\u003eThis skill is delivered as a \u003ccode\u003e.zip\u003c\/code\u003e archive containing the skill in a named folder, matching the Anthropic SKILL.md format. Extract directly into your Claude Code skills directory (\u003ccode\u003e~\/.claude\/skills\/\u003c\/code\u003e) to install — or open and paste the contents into Claude.ai, ChatGPT, or any other AI tool.\u003c\/em\u003e\u003c\/div\u003e","brand":"penguin tree ai","offers":[{"title":"Default Title","offer_id":52286403412270,"sku":"signal-vs-noise-diagnostic","price":5.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/4203\/6014\/files\/signal-vs-noise-diagnostic_d2cf34f5-cedc-4ca9-9e3e-71c7058440ce.png?v=1783459877","url":"https:\/\/penguintree.ai\/products\/signal-vs-noise-diagnostic","provider":"penguin tree ai","version":"1.0","type":"link"}