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Answered Same Day Jun 23, 2021

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Nishtha answered on Jun 25 2021
144 Votes
Running Head: CENTRAL LIMIT THEOREM                        1
CENTRAL LIMIT THEOREM                                3
CENTRAL LIMIT THEOREM
Table of Contents
Ans 1.    3
Ans 2.    3
Ans 3.    3
References    4
Ans 1.
The central limit theorem refers that the mean (average) of a random sample from any allocation with definite variance has a distribution. This distribution called normal distribution. As mentioned by Avigad, Holzl and Serafin (2017), the theorem states that if we unite same independent variables. It states that the mean (normalized sum) will be normal distribution. It is the distribution of this central tendency across different random samples. The...
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