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Home→The Westburn Dictionary of Marketing→C→central limit theorem

central limit theorem

Definition:
In the limit (loosely - if you do things again and again) whatever the distribution of a single SAMPLE, the total of the sets of samples will be distributed with the normal distribution. For example, if you want a BASIC program to give you a normal distribution, add the results of taking twelve numbers from the given uniform distribution. Often used as a justification for assuming the applicability of the normal distribution if the sample size is large.

Cross-References:
[samples]

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© Westburn Publishers Ltd 2002, The Westburn Dictionary of Marketing edited by Michael J Baker, ISBN 978-0-946433-01-8. www.themarketingdictionary.com. Entry: [Stephen K. Tagg], [1998].