An Urban council has installed 2000 lamps with mercury bulbs in the streets of town area. The lifetimes of these bulbs are normally distributed with a mean of 1200 burning hours and having a standard deviation of 200 hours.
(1) After what number of burning hours would you expect that 10 % of the bulbs would fail?
(2) After what number of burning hours would you expect that 150 bulbs are still in good condition?
I need the answers with simple functions and little explanations.
Let "X=" the lifetime of the mercury bulb: "X\\sim N(\\mu, \\sigma^2)"
Given "\\mu=1200\\ h, \\sigma=200\\ h, n=2000"
(1)
"\\dfrac{x-\\mu}{\\sigma}\\approx-1.281552"
"x\\approx1200+200(-1.281552)=943.69(h)"
After about 944 hours, 10% of the bulbs would fail.
(2)
"=\\dfrac{150}{2000}=0.075"
"\\dfrac{x-\\mu}{\\sigma}\\approx1.439531"
"x\\approx1200+200(1.439531)=1487.91(h)"
After 1488 hours, we expect that 150 bulbs are still in good condition.
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