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Date May 2010 Marks available 4 Reference code 10M.1.hl.TZ2.4
Level HL only Paper 1 Time zone TZ2
Command term Find Question number 4 Adapted from N/A

Question

A biased coin is weighted such that the probability of obtaining a head is \(\frac{4}{7}\). The coin is tossed 6 times and X denotes the number of heads observed. Find the value of the ratio \(\frac{{{\text{P}}(X = 3)}}{{{\text{P}}(X = 2)}}\).

Markscheme

recognition of \(X \sim {\text{B}}\left( {6,\frac{4}{7}} \right)\)     (M1)

\({\text{P}}(X = 3) = \left( {\begin{array}{*{20}{c}}
  6 \\
  3
\end{array}} \right){\left( {\frac{4}{7}} \right)^3}{\left( {\frac{3}{7}} \right)^3}\left( { = 20 \times \frac{{{4^3} \times {3^3}}}{{{7^6}}}} \right)\)     A1

\({\text{P}}(X = 2) = \left( {\begin{array}{*{20}{c}}
  6 \\
  3
\end{array}} \right){\left( {\frac{4}{7}} \right)^2}{\left( {\frac{3}{7}} \right)^4}\left( { = 15 \times \frac{{{4^2} \times 34}}{{{7^6}}}} \right)\)     A1

\(\frac{{{\text{P}}(X = 3)}}{{{\text{P}}(X = 2)}} = \frac{{80}}{{45}}\left( { = \frac{{16}}{9}} \right)\)     A1

[4 marks]

Examiners report

Many correct answers were seen to this and the majority of candidates recognised the need to use a Binomial distribution. A number of candidates, although finding the correct expressions for \({\text{P}}(X = 3)\) and \({\text{P}}(X = 4)\), were unable to perform the required simplification.

Syllabus sections

Topic 5 - Core: Statistics and probability » 5.6 » Binomial distribution, its mean and variance.
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