SAGE Research Methods - Encyclopedia of Measurement and Statistics

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Central Limit Theorem

In: Encyclopedia of Measurement and Statistics
Edited by: Neil J. Salkind

The central limit theorem states that, under conditions of repeated sampling from a population, the sample means of random measurements tend to possess an approximately normal distribution. This is true for ...

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  Salkind, N. J. (2007). Central limit theorem. In Encyclopedia of measurement and statistics (pp. 128-128). Sage Publications, Inc., https://dx.doi.org/10.4135/9781412952644.n75
  
  Salkind, Neil J. "Central Limit Theorem." In Encyclopedia of Measurement and Statistics, edited by Salkind, Neil J., 128-128. Thousand Oaks, CA: Sage Publications, Inc., 2007. https://dx.doi.org/10.4135/9781412952644.n75.
  
  Salkind, N. J. 2007. Central Limit Theorem. In: Neil J. Salkind Editor, 2007. Encyclopedia of Measurement and Statistics, Thousand Oaks, CA: Sage Publications, Inc. pp. 128 Available at: <https://dx.doi.org/10.4135/9781412952644.n75> [Accessed 25 Jun 2022].
  
  Salkind, Neil J. "Central Limit Theorem." Encyclopedia of Measurement and Statistics. Edited by Thousand Oaks: Sage Publications, Inc., 2007, pp. 128-128. SAGE Research Methods. 25 Jun 2022, doi: https://dx.doi.org/10.4135/9781412952644.n75.
  
  Salkind, Neil J. (2007). Central limit theorem In:Central limit theorem Encyclopedia of measurement and statistics Thousand Oaks, CA: Sage Publications, Inc.; 2007:128-128. doi:10.4135/9781412952644.n75
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