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Central limit theorem: the cornerstone of modern statistics
According to the central limit theorem, the means of a random sample of size, n, from a population with mean, µ, and variance, σ(2), distribute normally with mean, µ, and variance, [Formula: see text]. Using the central limit theorem, a variety of parametric tests have been developed under assumptio...
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| Published in: | Korean J Anesthesiol |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
The Korean Society of Anesthesiologists
2017
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5370305/ https://ncbi.nlm.nih.gov/pubmed/28367284 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4097/kjae.2017.70.2.144 |
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