A process manufactures resistors whose specifications are 1 kΩ ± 0.2 kΩ. The resistance of these parts is known to follow a normal distribution with a mean of 1.03 kΩ and a standard deviation of 0.08 kΩ.
a. What is the probability that a randomly selected resistance does
not meet the specifications?
b. If 10 resistors are selected at random, what is the probability that there will be at least 1 out of specification?
c. If 16 resistors are selected at random, what is the probability
that the average of the 16 resistors is less than 1.05 kΩ?
d. If 99.73% is desired to be within specifications, by how much
will the standard deviation need to be reduced?
a)
probability that a randomly selected resistance does not meet the specifications
=1-P(0.8<X<1.2)=1-P((0.8-1.03)/0.08)<Z<(1.2-1.03)/0.08)=1-P(-2.88<Z<2.13)=1-(0.9834-0.002)=0.0186 |
b)
probability that there will be at least 1 out of specification =1-P(none out of spec)
=1-(1-0.0186)^10
=0.1712
c)
std error=σx̅=σ/√n=0.08/√16 = | 0.0200 |
probability that the average of the 16 resistors is less than 1.05 kΩ :
probability =P(X<1.05)=(Z<(1.05-1.03)/0.02)=P(Z<1)=0.8413 |
d)
since 99.73 % values are within 3 standard deviaiton ; therefore standard deviation =0.2/3= 0.061
(required decrease =0.019)
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