Lecture 4 - Textbook Practice Questions

Q14

Distribution: Exponential Distribution
lambda = 0.4
a) X = lifetime of a satellite
P(X>5) = 1 - P(X<5)
= 1 - F(X<5)
= 1 - 0.865
= 0.135
F(X) = 1-e^-(lambda)(x) //IMPORTANT
F(5) = 1 - e^(-0.4)(5) = 0.865b) P(3<X<6)
P(3<X<6) = F(6) - F(3)
= 0.909 - 0.699
= 0.21
F(6) = 1-e^((-0.4)(6)) = 0.909
F(3) = 1-e^((-0.4)(3)) = 0.699Q18 (Poisson Process - skipped)
Poisson proccess
X=1/week
P[0 accidents in 1 week]
P(0) = ((e^-1)(-1^0))/0! = 0.368
[P(c)]^3=0.5
Q19

Mean = 1/位
10000 = 1/位
位 = 1/10000
a) X = Time of failure for a component
Memoryless property = 5000 hours (not 15000)
P(X>=15000|X>10000) = P(X>=5000)
P(X>=5000) = 1 - P(X<=5000)
= 1 - F(5000)
= 1 - 0.393
= 0.607
F(5000) = 1-e^((-1/10000)(5000)) = 0.393
b) Identical to part a (due to the memoryless property)
Q20 (a & c only)

a) P(X<=12) = F(12) = q-e^((1/48)(12))
= 0.22
c) Expected lifetime = E(X)
E(X) = 1/位 = 48 months (due to memoryless property)Q21a

X = Service time
a) P(X<60) = F(60) = 0.698 [for 1 customer]
= F(60)^2 [for 2 customers]
= 0.48Q34a

Range = Rx = (100, 999)
P(X>500) = 1 - P(X<500)
= 1 - F(500)
= 0.556 [for 1 plate]
0.556^2 = 0.3086 [for 2 plates]
F(500) = (x-a)/(b-a)
= (500-100)/(999-100)
= 0.556Q36 (Normal and Uniform only)

Normal (10,4)
(use the z table to get the values back into the original numbers)
P(6<X<8) = F(8) - F(6)
= 0.1587 - 0.0228
= 0.1359
Find these values in the z-table:
F(8) = (8-10)/2 = -1
F(6) = (6-10)/2 = -2
There are no negative values in the z-table...
Use the symmetrical property of the normal distribution to find the values...
F(8) = 1 - F(1) = 1 - 0.8413 = 0.1587
F(6) = 1 - F(2) = 1 - 0.9772 = 0.0228