Flaws occur at random along the length of a thin copper wire. Let x represent the random variable that counts the number of flaws in a length of wire and it follows a Poisson's distribution. Suppose the average number of flaws is 2.3 per 1 millimeter. Determine the probability of a) exactly 2 flaws in 1 millimeter of wire; b) at most 2 flaws in 1 millimeter of wire; c) at least 3 flaws in 1 millimeter of wire; d) at least 1 flaw in 2 millimeters of wire.

A First Course in Probability (10th Edition)
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ISBN:9780134753119
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Chapter1: Combinatorial Analysis
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22 Flaws occur at random along the length of a thin
copper wire. Let x represent the random variable
that counts the number of flaws in a length of wire
and it follows a Poisson's distribution. Suppose the
average number of flaws is 2.3 per 1 millimeter.
Determine the probability of
a) exactly 2 flaws in 1 millimeter of wire;
b) at most 2 flaws in 1 millimeter of wire;
c) at least 3 flaws in 1 millimeter of wire;
d) at least 1 flaw in 2 millimeters of wire.
Transcribed Image Text:22 Flaws occur at random along the length of a thin copper wire. Let x represent the random variable that counts the number of flaws in a length of wire and it follows a Poisson's distribution. Suppose the average number of flaws is 2.3 per 1 millimeter. Determine the probability of a) exactly 2 flaws in 1 millimeter of wire; b) at most 2 flaws in 1 millimeter of wire; c) at least 3 flaws in 1 millimeter of wire; d) at least 1 flaw in 2 millimeters of wire.
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