Date | November 2016 | Marks available | 5 | Reference code | 16N.2.hl.TZ0.11 |
Level | HL only | Paper | 2 | Time zone | TZ0 |
Command term | Hence and State | Question number | 11 | Adapted from | N/A |
Question
A Chocolate Shop advertises free gifts to customers that collect three vouchers. The vouchers are placed at random into 10% of all chocolate bars sold at this shop. Kati buys some of these bars and she opens them one at a time to see if they contain a voucher. Let P(X=n) be the probability that Kati obtains her third voucher on the nth bar opened.
(It is assumed that the probability that a chocolate bar contains a voucher stays at 10% throughout the question.)
It is given that P(X=n)=n2+an+b2000×0.9n−3 for n⩾.
Kati’s mother goes to the shop and buys x chocolate bars. She takes the bars home for Kati to open.
Show that {\text{P}}(X = 3) = 0.001 and {\text{P}}(X = 4) = 0.0027.
Find the values of the constants a and b.
Deduce that \frac{{{\text{P}}(X = n)}}{{{\text{P}}(X = n - 1)}} = \frac{{0.9(n - 1)}}{{n - 3}} for n > 3.
(i) Hence show that X has two modes {m_1} and {m_2}.
(ii) State the values of {m_1} and {m_2}.
Determine the minimum value of x such that the probability Kati receives at least one free gift is greater than 0.5.
Markscheme
{\text{P}}(X = 3) = {(0.1)^3} A1
= 0.001 AG
{\text{P}}(X = 4) = {\text{P}}(VV\bar VV) + {\text{P}}(V\bar VVV) + {\text{P}}(\bar VVVV) (M1)
= 3 \times {(0.1)^3} \times 0.9 (or equivalent) A1
= 0.0027 AG
[3 marks]
METHOD 1
attempting to form equations in a and b M1
\frac{{9 + 3a + b}}{{2000}} = \frac{1}{{1000}}{\text{ }}(3a + b = - 7) A1
\frac{{16 + 4a + b}}{{2000}} \times \frac{9}{{10}} = \frac{{27}}{{10\,000}}{\text{ }}(4a + b = - 10) A1
attempting to solve simultaneously (M1)
a = - 3,{\text{ }}b = 2 A1
METHOD 2
{\text{P}}(X = n) = \left( {\begin{array}{*{20}{c}} {n - 1} \\ 2 \end{array}} \right) \times {0.1^3} \times {0.9^{n - 3}} M1
= \frac{{(n - 1)(n - 2)}}{{2000}} \times {0.9^{n - 3}} (M1)A1
= \frac{{{n^2} - 3n + 2}}{{2000}} \times {0.9^{n - 3}} A1
a = - 3,b = 2 A1
Note: Condone the absence of {0.9^{n - 3}} in the determination of the values of a and b.
[5 marks]
METHOD 1
EITHER
{\text{P}}(X = n) = \frac{{{n^2} - 3n + 2}}{{2000}} \times {0.9^{n - 3}} (M1)
OR
{\text{P}}(X = n) = \left( {\begin{array}{*{20}{c}} {n - 1} \\ 2 \end{array}} \right) \times {0.1^3} \times {0.9^{n - 3}} (M1)
THEN
= \frac{{(n - 1)(n - 2)}}{{2000}} \times {0.9^{n - 3}} A1
{\text{P}}(X = n - 1) = \frac{{(n - 2)(n - 3)}}{{2000}} \times {0.9^{n - 4}} A1
\frac{{{\text{P}}(X = n)}}{{{\text{P}}(X = n - 1)}} = \frac{{(n - 1)(n - 2)}}{{(n - 2)(n - 3)}} \times 0.9 A1
= \frac{{0.9(n - 1)}}{{n - 3}} AG
METHOD 2
\frac{{{\text{P}}(X = n)}}{{{\text{P}}(X = n - 1)}} = \frac{{\frac{{{n^2} - 3n + 2}}{{2000}} \times {{0.9}^{n - 3}}}}{{\frac{{{{(n - 1)}^2} - 3(n - 1) + 2}}{{2000}} \times {{0.9}^{n - 4}}}} (M1)
= \frac{{0.9({n^2} - 3n + 2)}}{{({n^2} - 5n + 6)}} A1A1
Note: Award A1 for a correct numerator and A1 for a correct denominator.
= \frac{{0.9(n - 1)(n - 2)}}{{(n - 2)(n - 3)}} A1
= \frac{{0.9(n - 1)}}{{n - 3}} AG
[4 marks]
(i) attempting to solve \frac{{0.9(n - 1)}}{{n - 3}} = 1 for n M1
n = 21 A1
\frac{{0.9(n - 1)}}{{n - 3}} < 1 \Rightarrow n > 21 R1
\frac{{0.9(n - 1)}}{{n - 3}} > 1 \Rightarrow n < 21 R1
X has two modes AG
Note: Award R1R1 for a clearly labelled graphical representation of the two inequalities (using \frac{{{\text{P}}(X = n)}}{{{\text{P}}(X = n - 1)}}).
(ii) the modes are 20 and 21 A1
[5 marks]
METHOD 1
Y \sim {\text{B}}(x,{\text{ }}0.1) (A1)
attempting to solve {\text{P}}(Y \geqslant 3) > 0.5 (or equivalent eg 1 - {\text{P}}(Y \leqslant 2) > 0.5) for x (M1)
Note: Award (M1) for attempting to solve an equality (obtaining x = 26.4).
x = 27 A1
METHOD 2
\sum\limits_{n = 0}^x {{\text{P}}(X = n) > 0.5} (A1)
attempting to solve for x (M1)
x = 27 A1
[3 marks]