The thickness of books in a bookstore follows a normal distribution with the mean of 45mm and the standard deviation of 12mm.
a) A book is obtained from the bookstore, find the probability that
i) The book is thinner than 30mm.
ii) The bookβs thickness is between 34mm and 50mm.
b) 10 books are chosen from the bookstore at random, the mean thickness of that 10 books, πΜ 10, is measured. Find the probability that πΜ 10 lies between 43mm to 47mm.
c) π books are chosen from the bookstore at random, the mean thickness of that π books, πΜ π, is measured. Find the smallest value of π so that P(44<πΜ π<46)β₯0.99 .
a)
Let "X=" the thickness of book: "X\\sim N(\\mu, \\sigma^2)"
Then "Z=\\dfrac{X-\\mu}{\\sigma}\\sim N(0, 1)"
(i)
"\\mu=45, \\sigma=12"
"\\approx0.105650"
(ii)
"\\mu=45, \\sigma=12"
"=P(Z<\\dfrac{50-45}{12})-P(Z\\leq\\dfrac{34-45}{12})\\approx"
"\\approx P(Z<0.416667)-P(Z<-0.916667)\\approx"
"\\approx0.6615389-0.1796587\\approx0.481880"
b)
"\\mu=45, n=10,\\sigma={12\\over \\sqrt{10}}"
"=P(Z<\\dfrac{47-45}{{12\\over \\sqrt{10}}})-P(Z\\leq\\dfrac{43-45}{{12\\over \\sqrt{10}}})\\approx"
"\\approx P(Z<0.527046)-P(Z\\leq-0.527046)\\approx"
"\\approx0.7009193-(1-0.7009193)\\approx0.401839"
c)
"\\mu=45, \\sigma={12\\over \\sqrt{n}}"
Given "P(44<\\bar{X}_{n}<46)\\geq0.99"
"=P(Z<\\dfrac{46-45}{{12\\over \\sqrt{n}}})-P(Z\\leq\\dfrac{44-45}{{12\\over \\sqrt{n}}})="
"=2\\cdot P(Z<\\dfrac{\\sqrt{n}}{{12}})-1\\geq0.99"
"P(Z<\\dfrac{\\sqrt{n}}{{12}})\\geq0.995"
"\\dfrac{\\sqrt{n}}{{12}}\\geq2.575829"
"n\\geq956"
"n=956"
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