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 1 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)> 0.999. Note: This maximum value must be a whole number.

A First Course in Probability (10th Edition)
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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 Sn be the total number of specialized parts produced from day 1 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) > 0.999. Note: This maximum value must be a whole number.
Transcribed Image Text: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 Sn be the total number of specialized parts produced from day 1 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) > 0.999. Note: This maximum value must be a whole number.
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