Approach: Using Properties of Continuous Probability Density Functions (PDF)
A valid continuous probability density function $f(x)$ must satisfy the total probability axiom:
$$\int_{-\infty}^{\infty} f(x) \, dx = 1$$
Step 1: Find the value of the constant $c$
Given the piecewise definition of $f(x)$:
$$f(x) = \begin{cases} cx, & x \in [0, 10] \\ 0, & \text{otherwise} \end{cases}$$
We substitute this into our total probability integral over the non-zero domain $[0, 10]$:
$$\int_{0}^{10} cx \, dx = 1$$
Pulling out the constant $c$ and integrating $x$:
$$c \left[ \frac{x^2}{2} \right]_{0}^{10} = 1$$
$$c \left( \frac{10^2}{2} - \frac{0^2}{2} \right) = 1$$
$$c \left( \frac{100}{2} \right) = 1$$
$$50c = 1 \implies c = \frac{1}{50}$$
Thus, the fully defined PDF is:
$$f(x) = \begin{cases} \frac{1}{50}x, & x \in [0, 10] \\ 0, & \text{otherwise} \end{cases}$$
Step 2: Calculate the Probability $P(1 \le x \le 2)$
The probability that $x$ lies in the interval $[1, 2]$ is computed by integrating the PDF over those specific bounds:
$$P(1 \le x \le 2) = \int_{1}^{2} f(x) \, dx$$
$$P(1 \le x \le 2) = \int_{1}^{2} \frac{1}{50}x \, dx$$
$$\quad = \frac{1}{50} \left[ \frac{x^2}{2} \right]_{1}^{2}$$
$$\quad = \frac{1}{100} \left[ x^2 \right]_{1}^{2}$$
$$\quad = \frac{1}{100} \left( 2^2 - 1^2 \right)$$
$$\quad = \frac{1}{100} (4 - 1)$$
$$\quad = \frac{3}{100}$$
Correct Answer:
The probability that $x \in [1,2]$ is $\frac{3}{100}$.