Central Limit Theorem: If "\\bar{X}" is the mean of a random sample of size "n" taken from a population with mean "\\mu" and finite variance "\\sigma^2," then the limiting form of the distribution of
Given that "\\mu=\\$600, \\sigma=\\$85, n=65"
a)
(b)
(c)
"=1-P(Z\\leq{625-600 \\over 85\/\\sqrt{65}})\\approx1-0.99113578\\approx0.0089"
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