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The p.d.f of a continous random variable...

The p.d.f of a continous random variable X is
`f(x)=x/8, 0 lt x lt 4`
`=0`, otherwise
Then the value of `P(X gt 3)` is

A

`3/16`

B

`5/16`

C

`7/16`

D

`9/16`

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem of finding \( P(X > 3) \) for the given probability density function (p.d.f) of the continuous random variable \( X \), we will follow these steps: ### Step 1: Understand the p.d.f The given p.d.f is: \[ f(x) = \begin{cases} \frac{x}{8} & \text{for } 0 < x < 4 \\ 0 & \text{otherwise} \end{cases} \] This means that the function is defined and non-zero only in the interval \( (0, 4) \). ### Step 2: Set up the integral for \( P(X > 3) \) To find \( P(X > 3) \), we need to integrate the p.d.f from 3 to 4 (since \( f(x) = 0 \) for \( x > 4 \)): \[ P(X > 3) = \int_{3}^{4} f(x) \, dx \] ### Step 3: Substitute the p.d.f into the integral Substituting the expression for \( f(x) \): \[ P(X > 3) = \int_{3}^{4} \frac{x}{8} \, dx \] ### Step 4: Perform the integration Now we will integrate \( \frac{x}{8} \): \[ P(X > 3) = \frac{1}{8} \int_{3}^{4} x \, dx \] The integral of \( x \) is \( \frac{x^2}{2} \), so: \[ P(X > 3) = \frac{1}{8} \left[ \frac{x^2}{2} \right]_{3}^{4} \] Calculating the limits: \[ = \frac{1}{8} \left( \frac{4^2}{2} - \frac{3^2}{2} \right) = \frac{1}{8} \left( \frac{16}{2} - \frac{9}{2} \right) = \frac{1}{8} \left( \frac{16 - 9}{2} \right) = \frac{1}{8} \left( \frac{7}{2} \right) \] \[ = \frac{7}{16} \] ### Step 5: State the final answer Thus, the value of \( P(X > 3) \) is: \[ \boxed{\frac{7}{16}} \] ---
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Knowledge Check

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