Statistics
Textbooks
Boundless Statistics
Sampling
Sampling Distributions
Statistics Textbooks Boundless Statistics Sampling Sampling Distributions
Statistics Textbooks Boundless Statistics Sampling
Statistics Textbooks Boundless Statistics
Statistics Textbooks
Statistics
Concept Version 8
Created by Boundless

Sampling Distributions and the Central Limit Theorem

Empirical Central Limit Theorem

Empirical Central Limit Theorem

This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result in the 500 measured sample means being more closely distributed about the population mean (50 in this case).

Source

    Boundless vets and curates high-quality, openly licensed content from around the Internet. This particular resource used the following sources:

    "Empirical CLT - Figure - 040711."
    http://commons.wikimedia.org/wiki/File:Empirical_CLT_-_Figure_-_040711.jpg Wikimedia CC BY-SA.

Related Terms

  • central limit theorem
  • sampling distribution
  • Subjects
    • Accounting
    • Algebra
    • Art History
    • Biology
    • Business
    • Calculus
    • Chemistry
    • Communications
    • Economics
    • Finance
    • Management
    • Marketing
    • Microbiology
    • Physics
    • Physiology
    • Political Science
    • Psychology
    • Sociology
    • Statistics
    • U.S. History
    • World History
    • Writing

    Except where noted, content and user contributions on this site are licensed under CC BY-SA 4.0 with attribution required.