sample size is large, it does'nt matter what shape the distribution of the population it was drawn from the normal distribution can still be used to perform to perform statistical inference. (b) If conditions are met, the mean of the sampling disrribition is equal to the mean of the population mean (c) The Central Limit Theorem helps us find probablities for sample means when those means are based on a random sample from
sample size is large, it does'nt matter what shape the distribution of the population it was drawn from the normal distribution can still be used to perform to perform statistical inference. (b) If conditions are met, the mean of the sampling disrribition is equal to the mean of the population mean (c) The Central Limit Theorem helps us find probablities for sample means when those means are based on a random sample from
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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review(25):
which of the following is not a true statement about Central Limt Theorem. for sample means?
(a) If the
it was drawn from the
statistical inference.
(b) If conditions are met, the
the population mean
(c) The Central Limit Theorem helps us find probablities for sample means when those
means are based on a random sample from the population.
(d) all of these statements are true about Central Limit Theorem for sample means
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