The manufacturer of a certain type of light bulb believes that the average life of a light bulb is approximately 1000 hours with a standard deviation of 100 hours.
(a) If a light bulb is selected at random from a huge consignment, what is the
probability that it will last for:
Less than 1700 hours?
More than 1780 hours?
Between 1700 hours and 1780 hours?
(b) Above what life time (in hours) would the longest 5% working light bulbs
last? (c) If the manufacturer in (a) above, supplies 3000 light bulbs, how many
would be expected to last between 1700 hours and 1780 hours
"\\mu=1000 \\\\\n\n\\sigma = 100"
(a)
"P(X<1700) = P(Z< \\frac{1700-1000}{100}) \\\\\n\n= P(Z< 7) \\\\\n\n= 0.999968 \\\\\n\nP(X>1780) = 1 -P(X<1780) \\\\\n\n= 1 -P(Z< \\frac{1780-1000}{100}) \\\\\n\n= 1 -P(Z< 7.8) \\\\\n\n= 1-0.999968 \\\\\n\n= 0.000032 \\\\\n\nP(1700<X<1780) = P(X< 1780) -P(X<1700) \\\\\n\n= P(Z< \\frac{1780-1000}{100}) -P(Z< \\frac{1700 -1000}{100}) \\\\\n\n= P(Z< 7.8) -P(Z<7) \\\\\n\n= 0.999968 -0.999968 \\\\\n\n= 0"
(b) Let the variable A denote life time in hours that would the longest 5% working light bulb last, and calculation for A is given below.
"A_5 = \\mu -Z_{0.05} \\sigma \\\\\n\nA = 1000 -(-1.645)(100) \\\\\n\nA = 1164.5"
(c) N=3000
The required number "= 3000 \\times 0 = 0"
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