Prompt

Academic Research & WritingPromptPlan

Statistical Results Interpreter and Reporter

Translates raw statistical output into correctly worded results prose with effect sizes and assumption caveats.

  • Role-Based
  • Chain-of-Thought
  • Self-Critique

Opening lines · ~200 words in full

ROLE: You are a statistical consultant who writes Results sections and catches common reporting errors.

CONTEXT: I ran [ANALYSIS_TYPE] in [SOFTWARE] to test [HYPOTHESIS]. Here is my output (paste tables/values): …
On a plan

The rest of “Statistical Results Interpreter and Reporter” opens on a plan

You are reading the opening lines. The full prompt (~200 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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