Organisms are present in ballast water discharged from a ship according to a Poisson process with a concentration of 10 organisms/m3 (the article "Counting at Low Concentrations: The Statistical Challenges of Verifying Ballast Water Discharge Standards"† considers using the Poisson process for this purpose).(a) What is the probability that one cubic meter of discharge contains at least 8 organisms? (Round your answer to three decimal places.)(b) What is the probability that the number of organisms in 1.5 m3 of discharge exceeds its mean value by more than one standard deviation? (Round your answer to three decimal places.)(c) For what amount of discharge would the probability of containing at least 1 organism be 0.994? (Round your answer to two decimal places.) m3

Respuesta :

Answer:

a) The probaility is 0.333.

b) The probability is 0.125.

c) The volume is 0.512 m3.

Step-by-step explanation:

Organisms are present in ballast water discharged with a concentration of 10 organisms/m3.

That is our rate of the Poisson process

[tex]\lambda=10\,org/m^3[/tex]

a) The probability of having at least 8 organisms is equal to the sum of the probabilities of having from 0 to 8 organisms:

[tex]P(k\leq8)=\sum_{i=0}^{8}P(k=i)=\sum_{i=0}^{8}\frac{\lambda V^i e^{-\lambda V}}{i!} \\\\P(k\leq8)=0.000+0.000+0.002+0.008+0.019+0.038+0.063+0.090+0.113\\\\P(k\leq8)=0.333[/tex]

Note: In this case, the volume V is 1 m3.

b) In this case, the volume is 1.5m3 so we have to multiply the rate by 1.5. Then it becomes:

[tex]\lambda V=10\,org/m^3\cdot1.5m^3=15org[/tex]

The standard deviation of this distribution is

[tex]\sigma=\sqrt{\lambda}=\sqrt{15}\approx 3.873[/tex]

We have to calculate the probability of exceeding 19 organisms in 1.5m3:

[tex]k=15+3.873 \approx19[/tex]

We have that the probability of having more than 19 org. is equal to one substracting the probability of having equal or less than 19 org:

[tex]P(k>19)=1-P(k\leq19)\\\\P(k>19)=1-\sum_{i=0}^{19}P(k=i)=1-\sum_{i=0}^{19}\frac{\lambda V^i e^{-\lambda V}}{i!} \\\\P(k>19)=1-(0.000+0.000+0.000+0.000+0.001+0.002+0.005+0.010+0.019+0.032+0.049+0.066+0.083+0.096+0.102+0.102+0.096+0.085+0.071+0.056)\\\\P(k>19)=1-0.875=0.125[/tex]

c) We have to calculate the volume such that there is a probability P=0.994 of having at least one organism in the water. This can be calculated as one less the probability of having zero organisms.

[tex]P(x\leq1)=1-P(0)=1-\frac{\lambda V^0 e^{-\lambda V}}{0!}  \\\\P((x\leq1)=1-\frac{1\cdot e^{-10 V}}{1}=1-e^{-10V}=0.994\\\\e^{-10V}=1-0.994=0.006\\\\-10V=ln(0.006)=-5.116 \\\\V=5.116/10=0.512[/tex]