The p.d.f. of a continuous random variable \(X\) is \(f(x)\).
\[ f(x)= \begin{cases} \dfrac{x^2}{18}, & -3 \le x \le 3 \\ 0, & \text{otherwise} \end{cases} \] Then find \(P(|X|<2)\).
Step 1: Understand the probability expression
We need to find: \[ P(|X|<(2) \] We know: \[ |X|<2 \Rightarrow -2 \]
Step 2: Use the probability density function
For a continuous random variable, \[ P(a
Step 3: Take constant outside the integral
\[ =\frac{1}{18}\int_{-2}^{2}x^2\,dx \]
Step 4: Integrate \(x^2\)
We know: \[ \int x^2\,dx=\frac{x^3}{3} \] So, \[ =\frac{1}{18}\left[\frac{x^3}{3}\right]_{-2}^{2} \]
Step 5: Apply limits
Substitute upper and lower limits: \[ =\frac{1}{18} \left( \frac{2^3}{3} - \frac{(-2)^3}{3} \right) \] \[ =\frac{1}{18} \left( \frac{8}{3} - \frac{-8}{3} \right) \] \[ =\frac{1}{18} \left( \frac{16}{3} \right) \]
Step 6: Simplify
\[ =\frac{16}{54} \] \[ =\frac{8}{27} \]
Final Answer:
Therefore, \[ P(|X|<2)=\boxed{\frac{8}{27}} \]