Vhich of the following statements best describes what the central limit theorem states? 2A. Under general conditions, when n is large, Y will be near py with very high probability. OB. Under general conditions, when n is large, the distribution of Y is well approximated by a standard normal distribution even if Y, are not themsel O C. Under general conditions, when n is large, the distribution of Y is well approximated by a normal distribution even if Y, are not themselves normi O D. Under general conditions, the mean of Y is the weighted average of the conditional expectation of Y given X, weighted by the probability distribe
Vhich of the following statements best describes what the central limit theorem states? 2A. Under general conditions, when n is large, Y will be near py with very high probability. OB. Under general conditions, when n is large, the distribution of Y is well approximated by a standard normal distribution even if Y, are not themsel O C. Under general conditions, when n is large, the distribution of Y is well approximated by a normal distribution even if Y, are not themselves normi O D. Under general conditions, the mean of Y is the weighted average of the conditional expectation of Y given X, weighted by the probability distribe
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:Which of the following statements best describes what the central limit theorem states?
O A. Under general conditions, when n is large, Y will be near py with very high probability.
OR Under general conditions, when n is large, the distribution of Y is well approximated by a standard normal distribution even if Y, are not themselves normally distributed.
Oc Under general conditions, when n is large, the distribution of Y is well approximated by a normal distribution even if Y, are not themselves normally distributed.
O D. Under general conditions, the mean of Y is the weighted average of the conditional expectation of Y given X, weighted by the probability distribution of X.
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