Moderate -0.8 This is a straightforward application of the expectation formula E(X) = ∫xf(x)dx with a simple polynomial pdf. The integration is routine (integrating x(1-x²) = x - x³) with no tricks or complications, making it easier than average for A-level statistics questions.
1 A random variable \(X\) has probability density function f , where
$$f ( x ) = \begin{cases} \frac { 3 } { 2 } \left( 1 - x ^ { 2 } \right) & 0 \leqslant x \leqslant 1 \\ 0 & \text { otherwise } \end{cases}$$
Find \(\mathrm { E } ( X )\).
1 A random variable $X$ has probability density function f , where
$$f ( x ) = \begin{cases} \frac { 3 } { 2 } \left( 1 - x ^ { 2 } \right) & 0 \leqslant x \leqslant 1 \\ 0 & \text { otherwise } \end{cases}$$
Find $\mathrm { E } ( X )$.\\
\hfill \mbox{\textit{CAIE S2 2023 Q1 [3]}}