Suppose the curent measurements in a strip of wire follow a
normal distribution with a mean
of 10 milliamperes (mA) and a standard deviation of 2 mA.
(a) Find the probability that the measurement on a random strip of
wire exceeds 13 mA. (10
pts.)
(b) Find the probability that the measurement on a random strip
of wire is between 5.3 mA and
12.8 mA. (10 pts.)
(c) The wire is considered to be defective if its current
measurement is more than a certain mA.
What should be this level if 14% of the wires are defective?
We know that:
mean= 10 mA
standard deviation= 2mA
a.
P(wire>13)= 1-P(wire<13)
= 1-P(Z< (13-10)/2)
= 1-P(Z<1.5) [Note: This value can be found from a z distribution table]
= 1 - 0.9332
= 0.0668
b.
P(5.3<wire<12.8)= P(wire<12.8) - P(wire<5.3)
= P(Z<(12.8-10)/2) - P(Z<(5.3-10)/2)
= P(Z<1.3) - P(Z<-2.35) [Note: This value can be found from a z distribution table]
= 0.9032-0.00939
= 0.89381
c.
We know that the wire is defective if it is more than a certain mA. Thus the area under the curve to the left of this mA is 86% or 0.86.
Thus, the z-value of this point is [Note: This value can be found from a z distribution table] is 1.08.
Thus,
=> (x-10)/2 = 1.08
=> x-10= 2.16
=> x= 12.16
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