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HomeForumsAI for Data, Research & InsightsHow can I prompt an AI to explain statistical results clearly in plain language?Reply To: How can I prompt an AI to explain statistical results clearly in plain language?

Reply To: How can I prompt an AI to explain statistical results clearly in plain language?

#126061

Nice, that recipe is exactly the right foundation: short inputs, clear audience, and three concrete outputs make it easy to turn numbers into action. I especially like calling out a single goal — that helps the AI focus on whether you want a decision, an explanation, or a next step.

One thing people often trip over is the p-value. In plain English: a p-value tells you how surprising the observed difference would be if there really were no effect. If the p-value is small, the data are unlikely under the “no effect” story, so we lean toward thinking there is a real difference. It does not say how big the effect is, nor does it prove the result is practically important — it just flags that the result isn’t easily explained by random chance alone.

  1. What you’ll need (5 minutes):
    • Test type and the key numbers: p-value, effect size or difference, confidence interval, and sample size.
    • A one-line description of the audience and the decision you want them to make.
    • One short constraint: e.g., “keep to three bullets” or “single recommendation for a pilot.”
  2. How to ask (2–5 minutes):
    • Tell the AI you want plain language for your named audience.
    • Give the numbers and ask for three things: a one-sentence takeaway, a single sentence about confidence (how sure to be), and one practical next step or caveat.
    • Use short trigger phrases rather than a long prompt — for example: “plain language,” “one-sentence takeaway,” “confidence note,” “one recommended next step.”
  3. What to expect (read and adapt, 2–5 minutes):
    • A simple one-line headline you can paste into an email or slide.
    • A short plain-English explanation of what the p-value and confidence interval mean for your situation.
    • A practical recommendation (pilot, monitor, collect more data) and one caveat to watch.
  4. Quick refinement (1–2 minutes):
    • If it’s still too technical, ask: “Make that 3 bullets, no jargon, for a busy manager.”
    • If you need more rigor, ask the AI to show the numbers that support the sentence (e.g., effect size and CI) in one short line.

Clarity builds confidence: keep the request focused, give the exact numbers and audience, and ask explicitly for one takeaway, one confidence sentence, and one action. That structure turns statistics into decisions without hiding the uncertainty.