The number of knots in a particular type of wood has a Poisson distribution with an average of 1.7 knots in 10 cubic feet of the wood. Find the probability that a 10-cubic-foot block of the wood has at most 4 knots. (Round your answer to three decimal places.)

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Answer:

0.972 = 97.2% probability that a 10-cubic-foot block of the wood has at most 4 knots.

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

[tex]P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}[/tex]

In which

x is the number of sucesses

e = 2.71828 is the Euler number

[tex]\mu[/tex] is the mean in the given time interval.

Average of 1.7 knots in 10 cubic feet of the wood.

This means that [tex]\mu = 1.7[/tex].

Find the probability that a 10-cubic-foot block of the wood has at most 4 knots.

[tex]P(X \leq 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4)[/tex]

In which

[tex]P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}[/tex]

[tex]P(X = 0) = \frac{e^{-1.7}*(1.7)^{0}}{(0)!} = 0.183[/tex]

[tex]P(X = 1) = \frac{e^{-1.7}*(1.7)^{1}}{(1)!} = 0.311[/tex]

[tex]P(X = 2) = \frac{e^{-1.7}*(1.7)^{2}}{(2)!} = 0.264[/tex]

[tex]P(X = 3) = \frac{e^{-1.7}*(1.7)^{3}}{(3)!} = 0.15[/tex]

[tex]P(X = 4) = \frac{e^{-1.7}*(1.7)^{4}}{(4)!} = 0.064[/tex]

[tex]P(X \leq 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) = 0.183 + 0.311 + 0.264 + 0.15 + 0.064 = 0.972[/tex]

0.972 = 97.2% probability that a 10-cubic-foot block of the wood has at most 4 knots.

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