2. A certain factory produces X, specialized parts on day n, where Xn are independent and identically distributed random variables with mean 6 and variance 9. Let S„be the total number of specialized parts produced from day one to day n. Using Central Limit Theorem, determine the total number of parts, a, the said factory can guarantee to produce by day 50 with at least 99.9% certainty, i.e., determine the maximum value of a so that P(S50 2 a) 2 0.9999. Note that this maximum value must be a whole number

A First Course in Probability (10th Edition)
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Author:Sheldon Ross
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2. A certain factory produces X, specialized parts on day n, where X, are
independent and identically distributed random variables with mean 6
and variance 9. Let S„be the total number of specialized parts produced
from day one to day n. Using Central Limit Theorem, determine the total
number of parts, a, the said factory can guarantee to produce by day 50
with at least 99.9% certainty, i.e., determine the maximum value of a so
that P(S50 2 a) > 0.9999. Note that this maximum value must be a
whole number
Transcribed Image Text:2. A certain factory produces X, specialized parts on day n, where X, are independent and identically distributed random variables with mean 6 and variance 9. Let S„be the total number of specialized parts produced from day one to day n. Using Central Limit Theorem, determine the total number of parts, a, the said factory can guarantee to produce by day 50 with at least 99.9% certainty, i.e., determine the maximum value of a so that P(S50 2 a) > 0.9999. Note that this maximum value must be a whole number
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