Respuesta :
Answer:
Step-by-step explanation:
From the given information:
Let X be the random variable;
The mean survival time is E(X):
E(X) = μ
E(X) = ∝β
E(X) = 5 × 10
E(X) = 50
To find the standard deviation, we must first determine the variance:
[tex]V(X) = \sigma ^2[/tex]
[tex]V(X) = \alpha \beta ^2[/tex]
[tex]V(X) = 5 \times (10)^2[/tex]
[tex]V(X) = 5 \times 100[/tex]
[tex]V(X) = 500[/tex]
The standard deviation is:
[tex]\sigma =\sqrt{V(X)}[/tex]
[tex]\sigma =\sqrt{500}[/tex]
[tex]\sigma =22.361[/tex]
The standard deviation of survival time = 22.361
(c)
P(X>30) = 1 - P(X ≤ 30)
[tex]= 1 - \int \limits ^{30}_{0} \ f(x) \ dx[/tex]
[tex]= 1 - \int \limits ^{30}_{0} \dfrac{1}{\beta^{\alpha} \Gamma \alpha }x^{a-1} e ^{-x/\beta } \ dx[/tex]
[tex]= 1 - \int \limits ^{30}_{0} \dfrac{1}{\beta^{\alpha} \Gamma (5)}x^{5-1} e ^{-x/10 } \ dx --- (1)[/tex]
So, if:
[tex]y = \dfrac{x}{10}[/tex]
[tex]dy = \dfrac{dx}{10}[/tex]
10dy = dx
and limits of y are 0 and 3.
because;
for x = 0
[tex]y = \dfrac{0}{\beta}[/tex]
y = 0
For x = 30
[tex]y = \dfrac{30}{10}[/tex]
y = 10
From (1);
[tex]P(X> 30) = 1 - \int \limits ^{30}_{0} \dfrac{1}{\beta^{\alpha} \Gamma (5)}x^{5-1} e ^{-x/10 } \ dx[/tex]
[tex]P(X> 30) = 1 - \int \limits ^{3}_{0} \dfrac{(10y)^4}{10^{5} \Gamma (5)}e ^{-y } \ dy[/tex] since y = x/β
[tex]P(X> 30) = 1 - \int \limits ^{3}_{0} \dfrac{10^4 y^4 \ e^{-y} }{10^{4} \Gamma (5)} \ dy[/tex]
[tex]P(X> 30) = 1 - \int \limits ^{3}_{0} \dfrac{y^4 \ e^{-y} }{ \Gamma (5)} \ dy[/tex]
Since;
[tex]F(a, \alpha )= \int \limits ^a_0 \dfrac{y^{a-1}e^{-y}}{\Gamma (\alpha )} dy[/tex]
Then;
P(X> 30) = 1 - F(3,5)
From the table of incomplete gamma function;
P(X > 30) = 1 - 0.185
P(X > 30) = 0.815
Thus, the probability that an animal survives more than 30 weeks is 0.815
a)The mean survival time of a randomly selected animal of the type used in the experiment is 50.
b)Standard deviation of survival time is 22.36
What is the standard deviation?
The standard deviation of a random variable, sample, statistical population, data set, or probability distribution is the square root of its variance.
Suppose x is the random variable.
It is given that α= 5 and β=10.
So, the mean survival E(x)=α β
The mean survival E(x) =5*10
The mean survival E(x) =50
We know that Variance =α β²
So, Variance = 5*10²
Variance =500
We know that standard deviation σ = √Variance
σ = √500
σ = 22.36
Therefore, a)the mean survival time of a randomly selected animal of the type used in the experiment is 50.
b)Standard deviation of survival time is 22.36
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The standard deviation is:
The standard deviation of survival time = 22.361