Step 1 :The probability density function of a random variable is given by \(f(x)=\frac{9}{x^{10}}\) for \(x \geq 1\) and 0 otherwise.
Step 2 :The variance of a random variable X is given by the formula \(V(X) = E(X^2) - [E(X)]^2\), where \(E(X)\) is the expected value or mean of X, and \(E(X^2)\) is the expected value of X squared.
Step 3 :To find \(E(X)\) and \(E(X^2)\), we need to integrate \(x*f(x)\) and \(x^2*f(x)\) over the range of x, respectively. In this case, the range of x is from 1 to infinity.
Step 4 :By performing the integrations, we find that \(E(X) = \frac{9}{8}\) and \(E(X^2) = \frac{9}{7}\).
Step 5 :Substituting these values into the formula for variance, we find that \(V(X) = \frac{9}{7} - \left(\frac{9}{8}\right)^2 = \frac{9}{448}\).
Step 6 :Final Answer: The variance of the random variable X is given by \(\boxed{\frac{9}{448}}\).