CAIE Further Paper 4 2023 June — Question 1

Exam BoardCAIE
ModuleFurther Paper 4 (Further Paper 4)
Year2023
SessionJune
TopicCumulative distribution functions
TypePDF to CDF derivation

1 The continuous random variable \(X\) has probability density function f given by $$f ( x ) = \begin{cases} \frac { 1 } { 6 } \left( x ^ { - \frac { 1 } { 3 } } - x ^ { - \frac { 2 } { 3 } } \right) & 1 \leqslant x \leqslant 27
0 & \text { otherwise } \end{cases}$$
  1. Find the cumulative distribution function of \(X\).
    The random variable \(Y\) is defined by \(Y = X ^ { \frac { 1 } { 3 } }\).
  2. Find the probability density function of \(Y\).
  3. Find the exact value of the median of \(Y\).