3.- In a certain desert region the average number of persons who become seriously ill each year from eating a certain poisonous plant each year is 3.2, determine what is the probability that at least 5 people will become seriously ill in two years (hint: this is a rare event and can be modeled using a Poisson distribution)

Respuesta :

Answer:

[tex]P(X\geq 5)=1-P(X<5)=1-P(X\leq 4)=1-[P(X=0)+P(X=1)+P(X=2) +P(X=3) +P(X=4)][/tex]

Using the pmf we can find the individual probabilities like this:

[tex]P(X=0)=\frac{e^{-6.4} 6.4^0}{0!}=0.001662[/tex]

[tex]P(X=1)=\frac{e^{-6.4} 6.4^1}{1!}=0.010634 [/tex]

[tex]P(X=2)=\frac{e^{-6.4} 6.4^2}{2!}=0.034029 [/tex]

[tex]P(X=3)=\frac{e^{-6.4} 6.4^3}{3!}=0.072595 [/tex]

[tex]P(X=4)=\frac{e^{-6.4} 6.4^4}{4!}=0.116151 [/tex]

And replacing we got:

[tex] P(X \geq 5) =0.76493[/tex]

Step-by-step explanation:

Previous concepts

Let X the random variable that represent the number of people that will become sereiosly ill in two years. We know that [tex]X \sim Poisson(\lambda)[/tex]

The probability mass function for the random variable is given by:

[tex]f(x)=\frac{e^{-\lambda} \lambda^x}{x!} , x=0,1,2,3,4,...[/tex]

And f(x)=0 for other case.

For this case the value for [tex]\lambda[/tex] would be:

[tex]\lambda = 3.2 \frac{ills}{year} *2 years = 6.4[/tex]

For this distribution the expected value is the same parameter [tex]\lambda[/tex]

[tex]E(X)=\mu =\lambda[/tex]

On this case we are interested on the probability of having at least two chocolate chips, and using the complement rule we have this:

[tex]P(X\geq 5)=1-P(X<5)=1-P(X\leq 4)=1-[P(X=0)+P(X=1)+P(X=2) +P(X=3) +P(X=4)][/tex]

Using the pmf we can find the individual probabilities like this:

[tex]P(X=0)=\frac{e^{-6.4} 6.4^0}{0!}=0.001662[/tex]

[tex]P(X=1)=\frac{e^{-6.4} 6.4^1}{1!}=0.010634 [/tex]

[tex]P(X=2)=\frac{e^{-6.4} 6.4^2}{2!}=0.034029 [/tex]

[tex]P(X=3)=\frac{e^{-6.4} 6.4^3}{3!}=0.072595 [/tex]

[tex]P(X=4)=\frac{e^{-6.4} 6.4^4}{4!}=0.116151 [/tex]

And replacing we got:

[tex] P(X \geq 5) =0.76493[/tex]

Answer:

The probability that at least 5 people will become seriously ill in two years is 0.7649.

Step-by-step explanation:

The question mentions that this problem can be modeled using the Poisson distribution so, we will use the formula:

P(X=x) = [(e^-λt)*(λt^x)]/x!

where λ = average number of occurrences per year

           t = no. of years

           x = number of people

We need to determine P(X≥5) so first we will calculate the probabilities at X=0,1,2,3,4 and subtract them from the total probability i.e. 1 to find P(X≥5).

We have λ = 3.2, t=2 years hence λt = (3.2)(2) = 6.4. So,

P(X=0) = [(e^(-6.4)*(6.4^0)]/0! = 0.00166

P(X=1) = [(e^(-6.4)*(6.4^1)]/1! = 0.01063

P(X=2) = [(e^(-6.4)*(6.4^2)]/2! = 0.03403

P(X=3) = [(e^(-6.4)*(6.4^3)]/3! = 0.07259

P(X=4) = [(e^(-6.4)*(6.4^4)]/4! = 0.011615

P(X≥5) = 1 - P(X<5)

           = 1 - [P(X=0) + P(X=1) + P(X=2) + P(X=3) + P(X=4)]

           = 1 - (0.00166 + 0.01063 + 0.03403 + 0.07259 + 0.011615)

           = 1 - 0.23506

P(X≥5) = 0.7649

The probability that at least 5 people will become seriously ill in two years is 0.7649.

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