Date | November 2009 | Marks available | 13 | Reference code | 09N.3sp.hl.TZ0.4 |
Level | HL only | Paper | Paper 3 Statistics and probability | Time zone | TZ0 |
Command term | Deduce, Determine, Find, Show that, and Hence | Question number | 4 | Adapted from | N/A |
Question
The random variable X has the distribution \({\text{B}}(n{\text{ , }}p)\) .
(a) (i) Show that \(\frac{{{\text{P}}(X = x)}}{{{\text{P}}(X = x - 1)}} = \frac{{(n - x + 1)p}}{{x(1 - p)}}\) .
(ii) Deduce that if \({\text{P}}(X = x) > {\text{P}}(X = x - 1)\) then \(x < (n + 1)p\) .
(iii) Hence, determine the value of x which maximizes \({\text{P}}(X = x)\) when \((n + 1)p\) is not an integer.
(b) Given that n = 19 , find the set of values of p for which X has a unique mode of 13.
Markscheme
(a) (i) \(\frac{{{\text{P}}(X = x)}}{{{\text{P}}(X = x - 1)}} = \frac{{\left( {\frac{{n!}}{{(n - x)!x!}} \times {p^x} \times {{(1 - p)}^{n - x}}} \right)}}{{\left( {\frac{{n!}}{{(n - x + 1)!(x - 1)!}} \times {p^{x - 1}} \times {{(1 - p)}^{n - x + 1}}} \right)}}\) M1A1
\( = \frac{{(n - x + 1)p}}{{x(1 - p)}}\) AG
(ii) if \({\text{P}}(X = x) > {\text{P}}(X = x - 1)\) then
\((n - x + 1)p > x(1 - p)\) (M1)A1
\(np - xp + p > x - px\) A1
\(x < (n + 1)p\) AG
(iii) to maximise the probability we also need
\({\text{P}}(X = x) > {\text{P}}(X = x + 1)\) (M1)
\(\frac{{\left( {n - (x + 1) + 1} \right)p}}{{(x + 1)(1 - p)}} < 1\)
\(np - xp < x - xp + 1 - p\)
\(p(n + 1) < x + 1\) A1
hence \(p(n + 1) > x > p(n + 1) - 1\) (A1)
so x is the integer part of \((n + 1)p\) i.e. the largest integer less than \((n + 1)p\) A1
[9 marks]
(b) the mode is the value which maximises the probability (R1)
\(20p > 13 > 20p - 1\) M1
\( \Rightarrow p > \frac{{13}}{{20}} = 0.65\), and \(p < \frac{7}{{10}} = 0.70\) A1A1
(it follows that \(0.65 < p < 0.7\))
[4 marks]
Total [13 marks]
Examiners report
Many candidates made a reasonable attempt at (a)(i) and (ii) but few were able to show that the mode is the integer part of \((n + 1)p\). Part (b) also proved difficult for most candidates with few correct solutions seen.