See Chebyshev's inequality on Wiktionary
{
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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"
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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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"word": "Chebyshev inequality"
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"code": "cmn",
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"roman": "Qièbǐxuěfū bùděngshì",
"sense": "theorem",
"word": "切比雪夫不等式"
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"sense": "theorem",
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"word": "Čebyševova nerovnost"
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"word": "inégalité de Tchebychev"
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"word": "tschebyscheffsche Ungleichung"
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"word": "Tschebyscheff-Ungleichung"
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"word": "disuguaglianza di Čebyšëv"
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"sense": "theorem",
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"word": "desigualdade de Chebyshev"
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"word": "нера́венство Чебышёва"
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"word": "Chebyshev's inequality"
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"roman": "Qièbǐxuěfū bùděngshì",
"sense": "theorem",
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"word": "tschebyscheffsche Ungleichung"
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"sense": "theorem",
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"word": "disuguaglianza di Čebyšëv"
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This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2024-12-21 from the enwiktionary dump dated 2024-12-04 using wiktextract (d8cb2f3 and 4e554ae). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.
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