Respuesta :
Answer:
The probability of 1 error in a period of 0ne - half minute is 0.1494
Step-by-step explanation:
Formula for poisson distribution:
[tex]P (X = k) = \frac{\exp^{- \lambda} \lambda^{x} }{x!}[/tex]
If there is an average of 1 error in 10 seconds
In one-half minutes (i.e. 30 seconds), there will be an average of 30/10 errors = 3 errors
[tex]\lambda = 3 errors\\x = 1[/tex]
[tex]P (X = 1) = \frac{\exp^{-3} 3^{1} }{1!}[/tex]
1! = 1
[tex]P (X = 1) = 3 \exp^{-3}[/tex]
P(X = 1) = 3 * 0.0498
P(X = 1) = 0.01494
Answer:
The probability of 1 error in a period of one-half minute is approximately 0.15 .
Step-by-step explanation:
We are given that in a certain communications system, there is an average of 1 transmission error per 10 seconds.
Let X = distribution of transmission errors
So, X ~ Poisson([tex]\lambda[/tex]) , where [tex]\lambda[/tex] = average transmission error per 10 seconds = 1
i.e; X ~ Poisson([tex]\lambda[/tex] = 1)
The Probability distribution of Poisson distribution is given by;
[tex]P(X=x) = \frac{e^{-\lambda} \times \lambda^{x} }{x!} ; x = 0,1,2,3,....[/tex]
Since we have to find the probability for a period of one-half minute and we are given for a period of per 10 seconds.
Firstly, we need to convert [tex]\lambda[/tex] into period of one-half minute(30 seconds), i.e;
[tex]\lambda[/tex] for per 10 seconds period = 1
[tex]\lambda[/tex] for 1 second period = [tex]\frac{1}{10}[/tex]
[tex]\lambda[/tex] for 30 second period = [tex]\frac{1}{10} \times 30[/tex] = 3 errors
So, required X ~ Poisson([tex]\lambda=3[/tex])
Now, probability of 1 error in a period of one-half minute = P(X = 1)
P(X = 1) = [tex]\frac{e^{-3} \times 3^{1} }{1!}[/tex] = [tex]3 \times e^{-3}[/tex] = 0.1494
Therefore, probability of 1 error in a period of one-half minute is approximately 0.15 or 15% .