size-and-justify-samples

SKILLFlusso di lavorocommunity
v0.0.0dineshrevunuruMITAggiornato 1 mesi faFonte →

The canonical sample-size-and-sufficiency reference for all research — the single authority on 'how many participants' and 'is n big enough to support this claim'. A CANONICAL REFERENCE loaded before you recruit and before you report a rate, the way name-and-control-bias is loaded before trusting a

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1 mesi faUltimo aggiornamento
Skill
Autoredineshrevunuru
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
Cursor
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ChatGPT
Gemini
Descrizione

The canonical sample-size-and-sufficiency reference for all research — the single authority on 'how many participants' and 'is n big enough to support this claim'. A CANONICAL REFERENCE loaded before you recruit and before you report a rate, the way name-and-control-bias is loaded before trusting a finding. Use when someone asks 'how many participants / interviews / users / respondents', 'is 5 use

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skillclaude