In that case we use the powerful Central Limit Theorem
which states, that if the sample size is large enough, then sampling distribution of the mean is approximately normally distributed with mean p and standard deviation [sigma]/[square root of n], where [mu] and [sigma] are population parameters, and n is the sample size.
Program CLT converted to MATLAB from the Central limit theorem
on TI 83 calculator
We can give sufficient conditions under which the central limit theorem
in Equation (3) holds for f.
Optimal Keno Strategies and the Central Limit Theorem
Let us now illustrate the Central Limit Theorem
To illustrate the concept of the buffer fund, assume that the limiting result implied by the central limit theorem
applies exactly so we can write: (12) [Mathematical Expression Omitted] where [y.
Lee (1997), The central limit theorem
for Euclidean minimal spanning trees I, Ann.
Central limit theorem
for a class of random measures associated with germ-grain models.
n] satisfies a central limit theorem
with mean and variance
Recall that there is a central limit theorem
for the depth of nodes in (5) so that "most" nodes lie at [[mu].
He covers such topics as the binomial and Poisson distributions, the central limit theorem
, normal distribution, the probability tree, and the Bayes theory using examples and computer simulation.
Finally, using the contraction method in continuous times established by Janson Neininger , we prove a central limit Theorem