Given that probability density function of a continuous random variable x, as
f (x) = $ - \dfrac{{{x^2}}}{3}$, -1 < x < 2
= 0, otherwise
Then P(x > 0)
$\left( a \right)\dfrac{2}{9}$
$\left( b \right)\dfrac{1}{9}$
$\left( c \right)\dfrac{8}{9}$
$\left( d \right)\dfrac{4}{9}$
Answer
656.4k+ views
Hint: In this particular type of question use the concept of finding the probability under the limits (a < x < b) of probability density function is $\int\limits_a^b {f\left( x \right)} dx$, and use the basic integration formula to integrate it so use these concepts to reach the solution of the question.
Complete step by step answer:
Given function:
f (x) = $ - \dfrac{{{x^2}}}{3}$, -1 < x < 2
= 0, otherwise
Where f(x) is a probability density function.
Now probability of given probability density function f (x) under the limits a < x < b is given as,
P (a < x < b) = $\int\limits_a^b {f\left( x \right)} dx$
Now we have to find the probability for (x > 0)
Now as it is given that the probability density function f (x) is defined between the interval (-1, 2) otherwise it is zero.
So we have to find the probability for (x > 0), therefore, we have to take the integral limits from 0 to 2.
So the probability of the given probability density function is,
P (x > 0) = $\int_0^2 {f\left( x \right)dx} $
Now substitute the value of f (x) we have,
$ \Rightarrow $P (x > 0) = $\int_0^2 {\dfrac{{ - {x^2}}}{3}dx} $
Now as we know that $\int {{x^n}dx = \dfrac{{{x^{n + 1}}}}{{n + 1}} + c} $, where c is some arbitrary integration constant.
So use this property in the above integral we have,
$ \Rightarrow $P (x > 0) = $ - \dfrac{1}{3}\left[ {\dfrac{{{x^3}}}{3}} \right]_0^2$
Now apply integral limits we have,
$ \Rightarrow $P (x > 0) = $ - \dfrac{1}{3}\left[ {\dfrac{{{2^3}}}{3} - 0} \right]$
Now simplify this we have,
$ \Rightarrow $P (x > 0) = $ - \dfrac{1}{3}\left[ {\dfrac{8}{3}} \right] = \dfrac{{ - 8}}{9}$
So this is the required answer.
Hence option (C) is the correct answer.
Note: Whenever we face such types of questions the key concept we have to remember is that always recall the basic formula of integration such as, $\int {{x^n}dx = \dfrac{{{x^{n + 1}}}}{{n + 1}} + c} $, so first use the probability formula of finding the probability under the given limits then apply this basic integration formula as above and simplify we will get the required answer.
Complete step by step answer:
Given function:
f (x) = $ - \dfrac{{{x^2}}}{3}$, -1 < x < 2
= 0, otherwise
Where f(x) is a probability density function.
Now probability of given probability density function f (x) under the limits a < x < b is given as,
P (a < x < b) = $\int\limits_a^b {f\left( x \right)} dx$
Now we have to find the probability for (x > 0)
Now as it is given that the probability density function f (x) is defined between the interval (-1, 2) otherwise it is zero.
So we have to find the probability for (x > 0), therefore, we have to take the integral limits from 0 to 2.
So the probability of the given probability density function is,
P (x > 0) = $\int_0^2 {f\left( x \right)dx} $
Now substitute the value of f (x) we have,
$ \Rightarrow $P (x > 0) = $\int_0^2 {\dfrac{{ - {x^2}}}{3}dx} $
Now as we know that $\int {{x^n}dx = \dfrac{{{x^{n + 1}}}}{{n + 1}} + c} $, where c is some arbitrary integration constant.
So use this property in the above integral we have,
$ \Rightarrow $P (x > 0) = $ - \dfrac{1}{3}\left[ {\dfrac{{{x^3}}}{3}} \right]_0^2$
Now apply integral limits we have,
$ \Rightarrow $P (x > 0) = $ - \dfrac{1}{3}\left[ {\dfrac{{{2^3}}}{3} - 0} \right]$
Now simplify this we have,
$ \Rightarrow $P (x > 0) = $ - \dfrac{1}{3}\left[ {\dfrac{8}{3}} \right] = \dfrac{{ - 8}}{9}$
So this is the required answer.
Hence option (C) is the correct answer.
Note: Whenever we face such types of questions the key concept we have to remember is that always recall the basic formula of integration such as, $\int {{x^n}dx = \dfrac{{{x^{n + 1}}}}{{n + 1}} + c} $, so first use the probability formula of finding the probability under the given limits then apply this basic integration formula as above and simplify we will get the required answer.
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