Those formulas involve all sorts of obscure concepts such as the central limit theorem, correlation coefficients, standard deviation and regression analyses--all involving mathematical wizardry that would be relegated to books in the restricted section of the Hogwarts library.
What does CLT stand for?
CLT stands for Central Limit Theorem (probability theory)
This definition appears very frequently and is found in the following Acronym Finder categories:
- Science, medicine, engineering, etc.
See other definitions of CLT
We have 163 other meanings of CLT in our Acronym Attic
- Credit Line for Solid Waste Management (Development Bank of the Philippines)
- Central Lake Superior Watershed Partnership
- Closed-Loop Service Water System
- Closed Loop Support Extended
- Cairo Local Time (GMT+0200)
- Calculated Landing Time
- Canadian Learning Television
- Casualty Liaison Team (US Army)
- Cellular Logistics Team
- Center for Law and Technology
- Central Location Test
- Centre for Language Technology (various countries)
- Centre for Learning Technologies (various locations)
- Certificate of Land Transfer
- Certified Landscape Technician
- Certified Laser Technician
- Certified Lymphedema Therapist
- Charge Listing
- Charitable Lead Trust
- Charlotte, NC, USA - Charlotte/Douglas International Airport (Airport Code)
Samples in periodicals archive:
This edition has a new chapter on one-sample tests, new exercises at the end of each chapter, more material on the central limit theorem, and places answers to practice questions in a separate appendix.
1][parallel] < [infinity], then [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] The formulation of an accompanying central limit theorem takes into account that there is no convenient notion of subtraction for convex bodies, and so the identification with support functions is used: Theorem 2 (Weil, 1982) If [X.
Note that the sum in the denominator above converges to 1/2 by the Central Limit Theorem.
Secondly, in terms of distribution, for a sufficiently large number of observations, the covariance's distribution will have a shape resembling to the normal distribution (for a sufficiently large number of observations the Central Limit Theorem (CLT) applies).
The main justification for this assumption is the Central Limit Theorem, which argues the distribution of a sum is asymptotically normal since economic data is determined as the sum of activities of independent agents.