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RANDOM VARIABLES AND DISTRIBUTIONS Central limit theorem: Sample sum A small business owner estimates his mean daily profit a

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Answer #1

Let X denote the daily profit earned by the business. Using Central limit theorem, we know,

\sum X_{i}\sim N(n\mu,n\sigma^{2})\sim N(103(969),103(128)^{2})\sim N(99807,1687552)

Required probability = 100000 – 99807. PAΣX, S 100000) = P(Z< 100 1687552

= P(Z < 0.1486) = 0.5591

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