For a certain type of copper wire, it is knownthat, on the average, 1.5 flaws occur per millimeter.Assuming that the number of flaws is a Poisson randomvariable, what is the probability that no flaws occur ina certain portion of wire of length 5 millimeters?

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Answer:

The probability that no flaws occur in a certain portion of wire of length 5 millimeters =  1.1156 occur / millimeters

Step-by-step explanation:

Step 1:-

Given data A copper wire, it is known that, on the average, 1.5 flaws occur per millimeter.

by  Poisson random variable given that λ = 1.5 flaws/millimeter

Poisson distribution [tex]P(X= r) = \frac{e^{-\alpha } \alpha ^{r} }{r!}[/tex]

Step 2:-

The probability that no flaws occur in a certain portion of wire

[tex]P(X= 0) = \frac{e^{-1.5 } \(1.5) ^{0} }{0!}[/tex]

On simplification we get

P(x=0) = 0.223 flaws occur / millimeters

Conclusion:-

The probability that no flaws occur in a certain portion of wire of length 5 millimeters = 5 X P(X=0) = 5X 0.223 = 1.1156 occur / millimeters

The probability that no flaws occur in a certain portion of wire of length 5 millimeters is 0.055%

Poisson distribution is used when there are several occurrences in a distribution. It is given by:

[tex]f(x)=\frac{e^{-\lambda}\lambda^x}{x!} \\\\where\ \lambda=mean,x=number\ of \ occurences[/tex]

For a 5 mm wire:

E(X) = 5mm * 1.5 flaws per mm = 7.5 mm

P(X = 0) = [tex]\frac{e^{-7.5}7.5^0}{0!}=0.055\%[/tex]

The probability that no flaws occur in a certain portion of wire of length 5 millimeters is 0.055%

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