Question #84919

The probability that a certain plant will die within x hours in a certain environment is estimated to be [1−(1+x2)^-1]. Determine the probabilities that the plant will die
within 2 hours and that it will survive more than 3 hours. Find the corresponding density function.

Expert's answer

Answer on Question #84919 – Math – Statistics and Probability

Question

The probability that a certain plant will die within xx hours in a certain environment is estimated to be [1(1+x2)1][1 - (1 + x^2)^{-1}]. Determine the probabilities that the plant will die within 2 hours and that it will survive more than 3 hours. Find the corresponding density function.

Solution

Let XX be a continuous random variable. The cumulative distribution function (CDF), or briefly the distribution function, for a random variable XX is defined by


F(x)=P(Xx)=f(x)dxF(x) = P(X \leq x) = \int_{-\infty}^{\infty} f(x) \, dx


We have that


F(x)={0,x<0111+x2,x0F(x) = \begin{cases} 0, & x < 0 \\ 1 - \dfrac{1}{1 + x^2}, & x \geq 0 \end{cases}


If x2>x1>0x_2 > x_1 > 0, then F(x2)=111+(x2)2>111+(x1)2=F(x1)F(x_2) = 1 - \dfrac{1}{1 + (x_2)^2} > 1 - \dfrac{1}{1 + (x_1)^2} = F(x_1)

The CDF is non-decreasing.


F(0)=111+(0)2=0,F(0) = 1 - \frac{1}{1 + (0)^2} = 0,limx0+F(x)=limx0+(111+x2)=111+(0)2=0,\lim_{x \to 0^+} F(x) = \lim_{x \to 0^+} \left(1 - \frac{1}{1 + x^2}\right) = 1 - \frac{1}{1 + (0)^2} = 0,limxF(x)=limx(111+x2)=10=1.\lim_{x \to \infty} F(x) = \lim_{x \to \infty} \left(1 - \frac{1}{1 + x^2}\right) = 1 - 0 = 1.


The probability that the plant will die within 2 hours is equal to


P(X2)=F(2)F(0)=111+(2)2(111+(0)2)=45=0.8P(X \leq 2) = F(2) - F(0) = 1 - \frac{1}{1 + (2)^2} - \left(1 - \frac{1}{1 + (0)^2}\right) = \frac{4}{5} = 0.8


The probability that the plant will survive more than 3 hours is equal to


P(X>3)=1P(X3)=1(111+(3)2)=110=0.1P(X > 3) = 1 - P(X \leq 3) = 1 - \left(1 - \frac{1}{1 + (3)^2}\right) = \frac{1}{10} = 0.1


The function f(x)f(x) is the so-called density function (PDF) if


f(x)dx=1\int_{-\infty}^{\infty} f(x) \, dx = 1


The cumulative distribution function (CDF)


F(x)=P(Xx)=f(x)dxF(x) = P(X \leq x) = \int_{-\infty}^{\infty} f(x) \, dx


Then


f(x)=F(x)f(x) = F'(x)


We have that


F(x)={0,x<0111+x2,x0F(x) = \begin{cases} 0, & x < 0 \\ 1 - \dfrac{1}{1 + x^2}, & x \geq 0 \end{cases}(111+x2)=(1(1+x2)2)(2x)=2x(1+x2)2\left(1 - \dfrac{1}{1 + x^2}\right)' = -\left(-\dfrac{1}{(1 + x^2)^2}\right)(2x) = \dfrac{2x}{(1 + x^2)^2}


Thus, the corresponding density function is


f(x)={0,x<02x(1+x2)2,x0f(x) = \begin{cases} 0, & x < 0 \\ \dfrac{2x}{(1 + x^2)^2}, & x \geq 0 \end{cases}


Answer:


P(X2)=45=0.8,P(X>3)=110=0.1,f(x)={0,x<0,2x(1+x2)2,x0.P(X \leq 2) = \frac{4}{5} = 0.8, \quad P(X > 3) = \frac{1}{10} = 0.1, \quad f(x) = \begin{cases} 0, & x < 0, \\ \dfrac{2x}{(1 + x^2)^2}, & x \geq 0. \end{cases}


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