The average life of a light bulb follows an exponential distribution with a mean of 500 hours.
Find:
a) the probability that a bulb will last more than 1,000 hours
b) the probability that a bulb will last less than 100 hours
c) the probability that a bulb will last exactly 500 hours
Solution: Exponential distribution: the distribution is given by
F(x) = e -x for x>0
Mean = 1/ Standard deviation=1/
Given mean =500
Mean =1/ =500
=1/500 = 0.002
x~ ExP()
1> the probability that a bulb will last more than 1,000 hours
P(x>1000) =
= 0.002 (e -0.002x ) / 0.002
= e – 0.002(1000) – e -0.002()
P(x>1000) = e -2
2> the probability that a bulb will last less than 100 hours
P(x<100) = 0.002 e -0.002x dx
= 0.002[e -0.002 x / 0.002
= e -0.002(0) – e -0.002(100)
P(x<100) = 1 – e -0.2
3> the probability that a bulb will last exactly 500 hours
P(x=500) = 0.002 e -0.002x dx
e -0.002 x = 0
P(x=500) = 0