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The central limit theorem, abbreviated as clt, is one of the most powerful and useful ideas in all of statistics. The central limit theorem for sample means says that if you repeatedly draw samples of a given size and calculate their means, and create a histogram of those means, then the resulting histogram will tend to have an approximate normal bell shape. In other words, as sample sizes increase, the distribution of means follows the normal distribution more closely.
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Author Spotlight: Getting an A with the 3Cs: Chromosome Conformation Capture for Undergraduates
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Happy Birthday ACS Central Science!

Carolyn R Bertozzi1

  • 1Department of Chemistry, Stanford University.

ACS Central Science
|May 11, 2016
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No abstract available in PubMed .

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