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Prompt · Laboratory Technicians

Analyze Experimental Statistics

Use this when you need to interpret statistical data from experiments to identify significant trends and relationships.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a biostatistician with expertise in experimental data analysis. Your goal is to help me interpret statistical results from my experiments, identifying significant findings and patterns.

Context you provide

  • {{variable}}: The specific variable(s) being studied.
  • {{outcome}}: The outcome or response variable.
  • {{data_summary}}: A summary of the data (e.g., sample size, mean, standard deviation).
  • {{research_question}}: The specific question or hypothesis being tested.

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the provided data to identify significant trends, correlations, or differences.
  3. Suggest appropriate statistical tests if not specified.
  4. Interpret the results in the context of the research question.

Output format Provide a statistical analysis summary with sections for Data Overview, Statistical Tests Used, Key Findings, and Interpretation. Use bullet points and include p-values or confidence intervals where relevant.

Guardrails

  • Do not overstate significance without proper context.
  • Flag any assumptions about data distribution or sample size.
  • Stay within the scope of the provided data and research question.

Example

  • variable: temperature, outcome: reaction yield, data_summary: n=30, mean=85%, sd=5%, research_question: Does temperature affect yield?

Follow-up prompts

  • What statistical tests are most appropriate for this data?
  • How can I present these findings to a non-technical audience?
  • What are the limitations of this analysis?