Respuesta :
Answer:
0.14% probability of observing more than 4 errors in the carpet
Explanation:
When we only have the mean, we use the Poisson distribution.
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 interval.
The number of weaving errors in a twenty-foot by ten-foot roll of carpet has a mean of 0.8.
This means that [tex]\mu = 0.8[/tex]
What is the probability of observing more than 4 errors in the carpet
Either we observe 4 or less errors, or we observe more than 4. The sum of the probabilities of these outcomes is 1. So
[tex]P(X \leq 4) + P(X > 4) = 1[/tex]
We want P(X > 4). Then
[tex]P(X > 4) = 1 - P(X \leq 4)[/tex]
In which
[tex]P(X \leq 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4)[/tex]
[tex]P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}[/tex]
[tex]P(X = 0) = \frac{e^{-0.8}*(0.8)^{0}}{(0)!} = 0.4493[/tex]
[tex]P(X = 1) = \frac{e^{-0.8}*(0.8)^{1}}{(1)!} = 0.3595[/tex]
[tex]P(X = 2) = \frac{e^{-0.8}*(0.8)^{2}}{(2)!} = 0.1438[/tex]
[tex]P(X = 3) = \frac{e^{-0.8}*(0.8)^{3}}{(3)!} = 0.0383[/tex]
[tex]P(X = 4) = \frac{e^{-0.8}*(0.8)^{4}}{(4)!} = 0.0077[/tex]
[tex]P(X \leq 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) = 0.4493 + 0.3595 + 0.1438 + 0.0383 + 0.0077 = 0.9986[/tex]
[tex]P(X > 4) = 1 - P(X \leq 4) = 1 - 0.9986 = 0.0014[/tex]
0.14% probability of observing more than 4 errors in the carpet
Answer:
0.14% probability of observing more than 4 errors in the carpet
Explanation: