If \( X \) is a continuous random variable with the probability density
\[
f(x) =
\begin{cases}
K(1 - x^3), & 0 < x < 1 \\
0, & \text{otherwise}
\end{cases}
\]
Then, the value of \( K \) is ............
Show Hint
For continuous random variables, the probability density function must be normalized such that the total probability equals 1. Use this condition to solve for unknown constants in the function.
To find the value of $K$, we use the fact that the probability density function (PDF) of a continuous random variable must satisfy the normalization condition:
\[
\int_{-\infty}^{\infty} f(x) \, dx = 1
\]
This condition ensures that the total probability is 1. Since $f(x) = 0$ for $x$ outside the interval $[0, 1]$, we can simplify the integral as follows:
\[
\int_0^1 K(1 - x^3) \, dx = 1
\]
Now, compute the integral:
\[
\int_0^1 K(1 - x^3) \, dx = K \left[ \int_0^1 1 \, dx - \int_0^1 x^3 \, dx \right]
\]
The first integral is:
\[
\int_0^1 1 \, dx = x \Big|_0^1 = 1
\]
The second integral is:
\[
\int_0^1 x^3 \, dx = \frac{x^4}{4} \Big|_0^1 = \frac{1}{4}
\]
Thus, the equation becomes:
\[
K \left[ 1 - \frac{1}{4} \right] = 1
\]
\[
K \times \frac{3}{4} = 1
\]
Solving for $K$:
\[
K = \frac{4}{3}
\]
Therefore, the value of $K$ is $\dfrac{4}{3}$.