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 5 Naws in 6 millimeters of wire. 3) Determine the probability of at least 1 flaw in 2 millimeters of wire ?

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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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 5 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 5 Naws in 6 millimeters of wire. 3) Determine the probability of at least 1 flaw in 2 millimeters of wire ?
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