Date | November 2014 | Marks available | 5 | Reference code | 14N.3sp.hl.TZ0.1 |
Level | HL only | Paper | Paper 3 Statistics and probability | Time zone | TZ0 |
Command term | Find | Question number | 1 | Adapted from | N/A |
Question
A random variable \(X\) has probability density function
\(f(x) = \left\{ {\begin{array}{*{20}{c}} 0&{x < 0} \\ {\frac{1}{2}}&{0 \le x < 1} \\ {\frac{1}{4}}&{1 \le x < 3} \\ 0&{x \ge 3} \end{array}} \right.\)
Sketch the graph of \(y = f(x)\).
Find the cumulative distribution function for \(X\).
Find the interquartile range for \(X\).
Markscheme
A1
Note: Ignore open / closed endpoints and vertical lines.
Note: Award A1 for a correct graph with scales on both axes and a clear indication of the relevant values.
[1 mark]
\(F(x) = \left\{ {\begin{array}{*{20}{c}} 0&{x < 0} \\ {\frac{x}{2}}&{0 \le x < 1} \\ {\frac{x}{4} + \frac{1}{4}}&{1 \le x < 3} \\ 1&{x \ge 3} \end{array}} \right.\)
considering the areas in their sketch or using integration (M1)
\(F(x) = 0,{\text{ }}x < 0,{\text{ }}F(x) = 1,{\text{ }}x \ge 3\) A1
\(F(x) = \frac{x}{2},{\text{ }}0 \le x < 1\) A1
\(F(x) = \frac{x}{4} + \frac{1}{4},{\text{ }}1 \le x < 3\) A1A1
Note: Accept \( < \) for \( \le \) in all places and also \( > \) for \( \ge \) first A1.
[5 marks]
\({Q_3} = 2,{\text{ }}{Q_1} = 0.5\) A1A1
\({\text{IQR is }}2 - 0.5 = 1.5\) A1
[3 marks]
Total [9 marks]
Examiners report
Part (a) was correctly answered by most candidates. Some graphs were difficult to mark because candidates drew their lines on top of the ruled lines in the answer book. Candidates should be advised not to do this. Candidates should also be aware that the command term ‘sketch’ requires relevant values to be indicated.
In (b), most candidates realised that the cumulative distribution function had to be found by integration but the limits were sometimes incorrect.
In (c), candidates who found the upper and lower quartiles correctly sometimes gave the interquartile range as \([0.5,{\text{ }}2]\). It is important for candidates to realise that that the word range has a different meaning in statistics compared with other branches of mathematics.