O For the case of the thin copper re, suppose that the number of ws follows a Poisson distribution ha mean of 3.1 flaws per limeter. 1) Determine the obability of exactly 3 flaws in 1 limeter of wire. 2) Determine the obability of Naws in 6 millimeters wire. 3) Determine the probability at least 1 flaw in 2 millimeters of е?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Q:) For the case of the thin copper
wire, suppose that the number of
flaws follows a Poisson distribution
with a mean of 3.1 flaws per
millimeter. 1) Determine the
probability of exactly 3 flaws in 1
millimeter of wire. 2) Determine the
probability of Naws in 6 millimeters
of wire. 3) Determine the probability
of at least 1 flaw in 2 millimeters of
wire?
Transcribed Image Text:Q:) For the case of the thin copper wire, suppose that the number of flaws follows a Poisson distribution with a mean of 3.1 flaws per millimeter. 1) Determine the probability of exactly 3 flaws in 1 millimeter of wire. 2) Determine the probability of Naws in 6 millimeters of wire. 3) Determine the probability of at least 1 flaw in 2 millimeters of wire?
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