Government approval for a nuclear power plant on the California coast requires a hazard evaluation. Included is a probability analysis of various potentially damaging accidents or natural disasters. Compute the probability of at least one occurrence, (1) in a single year and (2) sometime in the next 100 years, from each of the following potentially damaging events, all of which arise from independent Poisson processes:

(a) impact from an airplane crash, presumed to occur in the vicinity of the generator site at a mean annual rate of .000001

1) P(at least 1 in a year) =



2) P(at least 1 in a 100 years) =

b) being hit by a large tsunami (tidal wave), known to occur once every 1,000 years with a further chance of 1/500 of hitting a particular location the width of the generator site

1) P(at least 1 in a year) =

2) P(at least 1 in a 100 years) =

(c) an earthquake causing rupture in the reactor cooling system. This could be only from a Richter-8 or greater shock whose epicenter falls near the generator site. This event is judged to have a mean rate of .00001 per year.

1) P(at least 1 in a year) =

2) P(at least 1 in a 100 years) =

Respuesta :

Answer:

See the step by step calculations below.

Step-by-step explanation:

(a) (1) P(at least 1 in a year) implies

The provided mean is λ=0.000001.

We need to compute Pr(X≥1).

Therefore, the following is obtained:

Pr(X≥1)=1−Pr(X<1)=1−Pr(X≤0)

= 1 - 1

=0

which completes the calculation.

(2) P(at least 1 in a 100 years) implies mean =100X0.000001=0.0001

The provided mean is λ=0.0001.

We need to compute Pr(X≥1). Therefore, the following is obtained:

Pr(X≥1)=1−Pr(X<1)=1−Pr(X≤0)

=1−0.9999 =0.0001

which completes the calculation.

(b) (1) P(at least 1 in a year)

mean=1/500=0.002

The provided mean is λ=0.002.

We need to compute Pr(X≥1). Therefore, the following is obtained:

Pr(X≥1)=1−Pr(X<1)=1−Pr(X≤0)

=1−0.998 =0.002

which completes the calculation.

(2) P(at least 1 in a 100 years) implies

mean=100 X 0.002=0.2

The provided mean is λ=0.2.

We need to compute Pr(X≥1). Therefore, the following is obtained:

Pr(X≥1)=1−Pr(X<1)=1−Pr(X≤0)

=1−0.8187 =0.1813

which completes the calculation.

(c) (1)  P(at least 1 in a year) implies

The provided mean is λ=0.00001.

We need to compute Pr(X≥1). Therefore, the following is obtained:

Pr(X≥1)=1−Pr(X<1)=1−Pr(X≤0)

=1−1   =0

(2) P(at least 1 in a 100 years) implies

Mean = 100 X 0.00001=0.001

Then,

The provided mean is λ=0.001.

We need to compute Pr(X≥1). Therefore, the following is obtained:

Pr(X≥1)=1−Pr(X<1)=1−Pr(X≤0)

=1−0.999  =0.001

which completes the calculation.

This mathematical problem falls under the subject of Mathematical Probabilities. There are various kinds of probabilities in mathematics. This one is related to Poisson Distribution.

What is the probability of a Poisson Distribution?

The Poisson Distribution is a discrete probability distribution in the theory of probability and statistics that examines the probability of occurrence of a number of events in a determined interval of time or space in relation to a constant mean rate and exclusive of the time of the previous event.

Solution (a1) - The probability that there is at least one occurrence of a hazard in a single year is given as:

Given that the mean is λ=0.000001, the function is given as Pr (X ≥ 1).

Therefore,

Pr (X ≥ 1) = 1 − Pr (X < 1) = 1 − Pr (X ≤ 0)

= 1 - 1 = 0

Hence the probability of a hazard occurring in a single year is Zero.

Solution (2) - The probability that there is an occurrence of a hazard sometime in the next 100 years, from each of the following potentially damaging events, all of which arise from independent Poisson processes is given as:

Where Pr (probability of occurrence) is at least once in 100 years, this means that

λ(Mean Rate)  = 100 * 0.00001 = 0.0001

Hence Pr (X ≥ 1) = 1 − Pr (X < 1) = 1 − Pr (X ≤ 0)                      

= 1 - 0.9999, Hence

The probability of occurrence is at least once in 100 years (Pr) = 0.0001.

Solution (b1) Pr (at least 1 in a year)

The mean is given as 1/500        

Hence,  λ = 0.002.                        

Therefore, Pr(X ≥ 1) = 1 − Pr (X < 1)

= 1 − Pr(X ≤ 0)

= 1 -0.998

Pr (at least 1 in a year) = 0.002

Solution (b2) Pr (at least 1 in 100 years)

This means that we are looking at a mean = 100 x 0.002.

That is λ = 0.2      

Pr(X ≥ 1 = 1 − Pr(X < 1)  

= 1 − Pr( X ≤ 0)

=  1−0.8187

= 0.1813

               

Solution (c1) Pr (at least 1 in 1 year)

Recall that the mean is λ = 0.00001. To compute for  Pr(X ≥ 1), we say:
Pr(X ≥ 1) = 1 − Pr( X < 1)

= 1 − Pr(X ≤ 0)

= 1-1

=0

Solution (c2) Pr (at least 1 in 100 years)

λ = 100 X 0.00001 = 0.001; Hence, Pr (X ≥ 1)will be computed as;

Pr(X ≥ 1) = 1 − Pr(X < 1) = 1 − Pr( X ≤ 0)

= 1 - 0.999

= 0.001

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