Answer:
95.44%
Step-by-step explanation:
Mean(μ) = 12000 hrs
Standard deviation (σ) = 500 hrs
Let X be a random variable which is a measure of the extended life of the light bulb.
The probability that these bulbs will last between 11,000 and 13,000 hours = Pr(11000 ≤ X ≤ 13000)
For normal distribution
Z = (x - μ)/ σ
Pr[(11000 - 12000)/500 ≤ (x - μ) /σ ≤μ
≤ (13000 - 12000)/500]
= Pr(-1000/500 ≤ z ≤ 1000/500)
= Pr(-2 ≤ z ≤ 2)
Pr(-2 ≤ z ≤ 2) = Pr(-2 ≤ z ≤ 0) + Pr(0 ≤ z ≤ 2)
By symmetry
Pr(-2 ≤ z ≤ 0) = Pr(0 ≤ z ≤ 2)
Therefore
Pr(-2 ≤ z ≤ 2) = 2Pr(0 ≤ z ≤ 2)
= 2(0.4772)
= 0.9544
Pr(-2 ≤ z ≤ 2) = 0.9544*100
= 95.44%