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Central limit theorem

Term · Cybersecurity · MLC-T-CYB-000599

For a random sample of size n from a population with meanm and variance s2, the distribution of the sample means is approximately normal with mean m and variance s2/n as the sample size increases.

Table 1. Record
IdentifierMLC-T-CYB-000599
FieldCybersecurity
ReferencesNIST SP 800-22 Rev. 1a; NIST CSRC Glossary
Record as JSON 
{
  "id": "MLC-T-CYB-000599",
  "term": "Central limit theorem",
  "field": "Cybersecurity",
  "term_source": "Central Limit Theorem",
  "definition": "For a random sample of size n from a population with meanm and variance s2, the distribution of the sample means is approximately normal with mean m and variance s2/n as the sample size increases.",
  "references": [
    "NIST SP 800-22 Rev. 1a",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/central-limit-theorem/"
}

Record 596 of 4,669 in Cybersecurity terminology (MLC-0102). Request the full dataset.