"Chebyshev's inequality" meaning in English

See Chebyshev's inequality in All languages combined, or Wiktionary

Proper name

Etymology: From the surname of Russian mathematician Pafnuty Chebyshev (1821–1894), the discoverer. Head templates: {{en-proper noun|head=Chebyshev's inequality}} Chebyshev's inequality
  1. (statistics) The theorem that in any data sample with finite variance, the probability of any random variable X that lies k or more standard deviations away from the mean is no more than 1/k², i.e. assuming mean μ and standard deviation σ, the probability is: Wikipedia link: Chebyshev's inequality, Pafnuty Chebyshev Categories (topical): Probability theory, Statistics Synonyms: Chebyshev inequality, Tchebycheff inequality, Tchebycheff's inequality Related terms: Chebyshev's sum inequality Translations (theorem): desigualtat de Txebixov [feminine] (Catalan), 切比雪夫不等式 (Qièbǐxuěfū bùděngshì) (Chinese Mandarin), Čebyševova nerovnost [feminine] (Czech), Tšebyšovin epäyhtälö (Finnish), inégalité de Tchebychev [feminine] (French), tschebyscheffsche Ungleichung [feminine] (German), Tschebyscheff-Ungleichung [feminine] (German), disuguaglianza di Čebyšëv [feminine] (Italian), desigualdade de Chebyshev [feminine] (Portuguese), нера́венство Чебышёва (nerávenstvo Čebyšóva) [neuter] (Russian), desigualdad de Chebyshov [feminine] (Spanish)

Download JSON data for Chebyshev's inequality meaning in English (4.2kB)

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          "text": "Pr (|X-μ|≥kσ)≤1/(k²)"
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        "The theorem that in any data sample with finite variance, the probability of any random variable X that lies k or more standard deviations away from the mean is no more than 1/k², i.e. assuming mean μ and standard deviation σ, the probability is:",
        "The theorem that in any data sample with finite variance, the probability of any random variable X that lies k or more standard deviations away from the mean is no more than 1/k², i.e. assuming mean μ and standard deviation σ, the probability is"
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        "(statistics) The theorem that in any data sample with finite variance, the probability of any random variable X that lies k or more standard deviations away from the mean is no more than 1/k², i.e. assuming mean μ and standard deviation σ, the probability is:"
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      "synonyms": [
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          "word": "Tchebycheff's inequality"
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          "word": "desigualtat de Txebixov"
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          "lang": "Czech",
          "sense": "theorem",
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          "word": "Čebyševova nerovnost"
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          "code": "fi",
          "lang": "Finnish",
          "sense": "theorem",
          "word": "Tšebyšovin epäyhtälö"
        },
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          "code": "fr",
          "lang": "French",
          "sense": "theorem",
          "tags": [
            "feminine"
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          "word": "inégalité de Tchebychev"
        },
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          "code": "de",
          "lang": "German",
          "sense": "theorem",
          "tags": [
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          ],
          "word": "tschebyscheffsche Ungleichung"
        },
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          "code": "de",
          "lang": "German",
          "sense": "theorem",
          "tags": [
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          "word": "Tschebyscheff-Ungleichung"
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          "sense": "theorem",
          "tags": [
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          "sense": "theorem",
          "tags": [
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          "word": "desigualdade de Chebyshev"
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          "lang": "Russian",
          "roman": "nerávenstvo Čebyšóva",
          "sense": "theorem",
          "tags": [
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          "word": "нера́венство Чебышёва"
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          "sense": "theorem",
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        "Pafnuty Chebyshev"
      ]
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}
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        "The theorem that in any data sample with finite variance, the probability of any random variable X that lies k or more standard deviations away from the mean is no more than 1/k², i.e. assuming mean μ and standard deviation σ, the probability is:",
        "The theorem that in any data sample with finite variance, the probability of any random variable X that lies k or more standard deviations away from the mean is no more than 1/k², i.e. assuming mean μ and standard deviation σ, the probability is"
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      ],
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      "word": "Tchebycheff inequality"
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    {
      "code": "ca",
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      "word": "desigualtat de Txebixov"
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      "sense": "theorem",
      "tags": [
        "feminine"
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      "code": "de",
      "lang": "German",
      "sense": "theorem",
      "tags": [
        "feminine"
      ],
      "word": "tschebyscheffsche Ungleichung"
    },
    {
      "code": "de",
      "lang": "German",
      "sense": "theorem",
      "tags": [
        "feminine"
      ],
      "word": "Tschebyscheff-Ungleichung"
    },
    {
      "code": "it",
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      "sense": "theorem",
      "tags": [
        "feminine"
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    },
    {
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      "lang": "Portuguese",
      "sense": "theorem",
      "tags": [
        "feminine"
      ],
      "word": "desigualdade de Chebyshev"
    },
    {
      "code": "ru",
      "lang": "Russian",
      "roman": "nerávenstvo Čebyšóva",
      "sense": "theorem",
      "tags": [
        "neuter"
      ],
      "word": "нера́венство Чебышёва"
    },
    {
      "code": "es",
      "lang": "Spanish",
      "sense": "theorem",
      "tags": [
        "feminine"
      ],
      "word": "desigualdad de Chebyshov"
    }
  ],
  "word": "Chebyshev's inequality"
}

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