Beyond Rules of Thumb: A Quantitative Confidence Framework for Central Limit Theorem Applicability

Abstract excerpt

<title>Abstract</title> <p>In the absence of a formal theoretical framework for determining when the Central Limit Theorem (CLT) provides an adequate normal approximation, practitioners often rely on informal sample-size rules. Such rules offer neither dataset-specific guidance nor a quantitative measure of confidence regarding CLT applicability for observations drawn from an unknown population. This uncertainty...

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• Chromosomes, Human, Pair 8
• Models, Biological
• Poisson Distribution
• Polymorphism, Single Nucleotide
• Thermodynamics

Identifiers and source

Literature Corpus work

de3a155b-6b03-5ae8-bb93-bb737dbb5138

DOI

10.21203/rs.3.rs-10168363/v1