Pdf Verification
1. **Problem Statement:** We have a random variable $X$ with probability density function (pdf)
$$f(x) = \begin{cases} \frac{1}{6}x, & 2 < x \leq 4 \\ 0, & \text{otherwise} \end{cases}$$
We need to (a) verify that $f(x)$ satisfies the properties of a pdf, and (b) find $P(2 < X \leq 3)$.
2. **Properties of a pdf:**
- $f(x) \geq 0$ for all $x$.
- The total area under the pdf curve must be 1, i.e.,
$$\int_{-\infty}^{\infty} f(x) \, dx = 1$$
3. **Check non-negativity:**
For $2 < x \leq 4$, $f(x) = \frac{1}{6}x$ which is positive since $x > 2$. For other $x$, $f(x) = 0$. So, $f(x) \geq 0$ everywhere.
4. **Check total area:**
Calculate
$$\int_{2}^{4} \frac{1}{6}x \, dx = \frac{1}{6} \int_{2}^{4} x \, dx = \frac{1}{6} \left[ \frac{x^2}{2} \right]_{2}^{4} = \frac{1}{6} \left( \frac{16}{2} - \frac{4}{2} \right) = \frac{1}{6} (8 - 2) = \frac{6}{6} = 1$$
This confirms the total area under $f(x)$ is 1.
5. **Conclusion for (a):** $f(x)$ satisfies the properties of a pdf.
6. **Find $P(2 < X \leq 3)$:**
Calculate
$$P(2 < X \leq 3) = \int_{2}^{3} \frac{1}{6}x \, dx = \frac{1}{6} \left[ \frac{x^2}{2} \right]_{2}^{3} = \frac{1}{6} \left( \frac{9}{2} - \frac{4}{2} \right) = \frac{1}{6} \times \frac{5}{2} = \frac{5}{12}$$
**Final answers:**
- (a) $f(x)$ is a valid pdf.
- (b) $P(2 < X \leq 3) = \frac{5}{12}$.