CAIE A-Level Further Math AS 4.1 Continuous Random Variables Questions

Practise piecewise density and distribution functions, transformed variables, expectations, variances, medians and percentiles.

Syllabus
2028–2030
Course
Further Mathematics 9231
Level
AS

Exam points

  • normalise a piecewise PDF before calculating probabilities or expectations
  • integrate to obtain a CDF, median, percentile, E[g(X)] or Var(X)
  • derive a transformed variable's CDF first, then differentiate to obtain its PDF

Question 1

[Maximum number: 9]
Figure for Question 1 — CAIE A-Level Further Math AS

As shown in the diagram, the continuous random variable X has probability density function f given by

f(x)={mx0⩽x⩽2kx2+c2⩽x⩽60 otherwise f(x)= \begin{cases}m x & 0 \leqslant x \leqslant 2 \\ \frac{k}{x^{2}}+c & 2 \leqslant x \leqslant 6 \\ 0 & \text { otherwise }\end{cases}

where m, k and c are constants.

Question (a)

(a)

Given that P(X⩽2)=13\mathrm{P}(X \leqslant 2)=\frac{1}{3}, show that m=16m=\frac{1}{6} and find the values of k and c.

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Question (b)

(b)

Find the exact numerical value of the interquartile range of X.

[ 5 ]

Question 2

[Maximum number: 11]

The continuous random variable X has probability density function f given by

f(x)={328(e12x+4e−12x)0⩽x⩽2ln⁡30 otherwise \mathrm{f}(x)= \begin{cases}\frac{3}{28}\left(\mathrm{e}^{\frac{1}{2} x}+4 \mathrm{e}^{-\frac{1}{2} x}\right) & 0 \leqslant x \leqslant 2 \ln 3 \\ 0 & \text { otherwise }\end{cases}

Question (a)

(a)

Find the cumulative distribution function of X.
The random variable Y is defined by Y=e12(X)Y=\mathrm{e}^{\frac{1}{2}(X)}.

[ 3 ]

Question (b)

(b)

Find the probability density function of Y.

[ 3 ]

Question (c)

(c)

Find the 30th percentile of Y.

[ 3 ]

Question (d)

(d)

Find E(Y4)\mathrm{E}\left(Y^{4}\right).

[ 2 ]
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