Respuesta :
Answer:
The required answer is shown below:
Step-by-step explanation:
Consider the provided information.
The formula for calculating poisson probability mass function: [tex]P(k)=\frac{\lambda^ke^{-\lambda} }{k!}[/tex]
Where λ is average number of events, the value of e = 2.718..
K can take the values 0,1,2...
Part (a)Find P(X = 7).
A certain mineral specimen is of such an age that there should be an average of 6 tracks per cm² of surface area.
Use the above formula and substitute x=7 and λ=6
[tex]P(X=7)=\frac{6^7e^{-6} }{7!}[/tex]
[tex]P(X=7)=0.1377[/tex]
Hence, P(X = 7) = 0.1377
Part (b)Find P(X ≥ 3).
This can be calculated as:
[tex]P(X\geq 3)=1-P(X=0)-P(X=1)-P(X=2)[/tex]
[tex]P(X\geq 3)=1-\frac{6^0e^{-6} }{0!}-\frac{6^1e^{-6}}{1!}-\frac{6^2e^{-6}}{2!}[/tex]
[tex]P(X=7)=0.9380[/tex]
Hence, P(X ≥ 3) = 0.9380
Part (c)Find P(2 < X < 7).
The sum can be calculated as:
[tex]P(2<X<7)=P(X=3)+P(X=4)+P(X=5)+P(X=6)[/tex]
[tex]P(2<X<7)=\frac{6^3e^{-6} }{3!}+\frac{6^4e^{-6}}{4!}+\frac{6^5e^{-6}}{5!}+\frac{6^6e^{-6}}{6!}[/tex]
[tex]P(2<X<7)=0.5443[/tex]
Hence, P(2 < X < 7)= 0.5443
Part (d)Find μX.
If λ is average number of successes or region in the Poisson distribution, then the mean and the variance of the Poisson distribution are both equal to λ.
[tex]\mu_x=\lambda=6[/tex]
Part (e)Find σX
If λ is average number of successes or region in the Poisson distribution, then the mean and the variance of the Poisson distribution are both equal to λ.
[tex](\sigma_x)^2=\lambda[/tex]
[tex]\sigma_x=\sqrt{\lambda}[/tex]
[tex]\sigma_x=\sqrt{6}=2.449[/tex]