The breakdown voltage of a randomly chosen diode of a certain type is known to be normally distributed with mean value 39 V and standard
deviation 1.1 V.
a) What is the probability that the voltage of a single diode is between 37.98 and 41.24?
b) What value c is such that only 1% of all diodes have voltages exceeding that value?
c) If 6 diodes are independently selected, what is the probability that at least 2 has a voltage exceeding 41.24?
Sol) Given,
Mean =39, S. D=1.1
a)
"\\begin{aligned} & P(37.98<x<41.24) \\\\ & P(x<42)-P(x<39) \\\\ z=& \\frac{x-\\text { mean }}{\\text { S.D }} \\\\=& P\\left(z<\\frac{42-40}{1.5}\\right)-P\\left(z<\\frac{39-40}{1.5}\\right) \\\\=& P(z<1.33333)-P(z<-0.66666) \\\\=& 0.9088-0.2525=0.6563 \\end{aligned}"
b) 1% of diodes
"z=\\frac{x-\\text { mean }}{S \\cdot D}\\Rightarrow \\quad 0.1=\\frac{x-\\text { mean }}{S \\cdot D}"
z-value corresponding to 0.15 is 1.04
"\\begin{aligned}\n\n1.04 &=\\frac{x-40}{15} \\\\\n\n(1.04)(15) & \\neq 40=x \\\\\n\nx &=41.56\n\n\\end{aligned}"
c)
"\\begin{aligned}\nP \\text { (atleast } 41.24 \\text { ) } &=1-P(\\text { less then } 41.24) \\\\\n&=1-P(x<41.24) \\\\\n&=1-P\\left(z<\\frac{41.24-40}{1.5}\\right) \\\\\n&=1-P(z<.826) \\\\\n&=1-0.5000 \\\\\n&=0.5 \\\\\n\\text{As 6 diode are selected}\\\\\n&=1-(0.5)^{6} \\\\\n&=1-0.015625 \\\\\n&=0.9843\n\\end{aligned}"
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