50. Let X₁, X2,..., X50 be i.i.d. with E(X;) = 25 and V(X;) = 10. Consider the random variable defined by 50 the sample average X = X Apply the Central Limit Theorem to answer the following: n i=1 (a) What is the approximate distribution of X (include parameter(s))? (b) Approximate P(X> 25.5). (c) Approximate P(|X-25 <0.8).

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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50. Let X₁, X2, ..., X50 be i.i.d. with E(X) = 25 and V(X₂) = 10. Consider the random variable defined by
50 X₁
the sample average X = Σ Apply the Central Limit Theorem to answer the following:
n
i=1
(a) What is the approximate distribution of X (include parameter(s))?
(b) Approximate P(X> 25.5).
(c) Approximate P(|X-25 <0.8).
(d) Approximate the 0.975 quantile (97.5th%tile) of X.
Transcribed Image Text:50. Let X₁, X2, ..., X50 be i.i.d. with E(X) = 25 and V(X₂) = 10. Consider the random variable defined by 50 X₁ the sample average X = Σ Apply the Central Limit Theorem to answer the following: n i=1 (a) What is the approximate distribution of X (include parameter(s))? (b) Approximate P(X> 25.5). (c) Approximate P(|X-25 <0.8). (d) Approximate the 0.975 quantile (97.5th%tile) of X.
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