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2017 A-Level · Paper 2 · Question 5

2017 H2 Maths Paper 2, Question 5

Discrete random variables 7 marks expectation and variance
Download Paper 2 solutions (PDF)

Part (i)

3 marks

Approach

TT is the number of counters removed when the 2nd red counter is drawn. Since there are only 3 yellow counters in the bag, at most 3 yellows can be drawn before the 2nd red, so TT ranges from 22 (both reds drawn first) to 55 (all 3 yellows drawn before the 2nd red). For T=tT = t, the first t−1t - 1 counters removed must contain exactly 1 red and t−2t - 2 yellow (in any order), and the tt-th counter removed must be red.

P(T=t)=(61)(3t−2)(9t−1)×510−t,t=2,3,4,5P(T = t) = \frac{\binom{6}{1}\binom{3}{t - 2}}{\binom{9}{t - 1}} \times \frac{5}{10 - t},\quad t = 2,3,4,5

By GC (or direct calculation),

P(T=2)=69×58=512P(T = 2) = \frac{6}{9} \times \frac{5}{8} = \frac{5}{12}
P(T=3)=(61)(31)(92)×57=1836×57=514P(T = 3) = \frac{\binom{6}{1}\binom{3}{1}}{\binom{9}{2}} \times \frac{5}{7} = \frac{18}{36} \times \frac{5}{7} = \frac{5}{14}
P(T=4)=(61)(32)(93)×56=1884×56=528P(T = 4) = \frac{\binom{6}{1}\binom{3}{2}}{\binom{9}{3}} \times \frac{5}{6} = \frac{18}{84} \times \frac{5}{6} = \frac{5}{28}
P(T=5)=(61)(33)(94)×55=6126×1=121P(T = 5) = \frac{\binom{6}{1}\binom{3}{3}}{\binom{9}{4}} \times \frac{5}{5} = \frac{6}{126} \times 1 = \frac{1}{21}
To check your answer: the four probabilities sum to 512+514+528+121=35+30+15+484=1\frac{5}{12} + \frac{5}{14} + \frac{5}{28} + \frac{1}{21} = \frac{35 + 30 + 15 + 4}{84} = 1. ✓

∴\therefore

tt 22 33 44 55
P(T=t)P(T = t) 512\frac{5}{12} 514\frac{5}{14} 528\frac{5}{28} 121\frac{1}{21}

Part (ii)

2 marks

Using the distribution in (i),

E(T)=∑t P(T=t)=207E(T) = \sum t\, P(T = t) = \frac{20}{7}
Var(T)=E(T2)−[E(T)]2=12514−(207)2=7598Var(T) = E\left( T^{2} \right) - \left\lbrack E(T) \right\rbrack^{2} = \frac{125}{14} - \left( \frac{20}{7} \right)^{2} = \frac{75}{98}

∴\therefore E(T)=207=2.86E(T) = \frac{20}{7} = 2.86 (3 s.f.), Var(T)=7598=0.765Var(T) = \frac{75}{98} = 0.765 (3 s.f.).

Part (iii)

2 marks

Approach

“At least 4 counters” means T≥4T \geq 4, i.e. T=4T = 4 or T=5T = 5. Let WW be the number of Lee’s 15 games (out of 15) in which he has to take at least 4 counters out of the bag. Since each game is an independent repeat of the same experiment, WW follows a binomial distribution.

P(T≥4)=P(T=4)+P(T=5)=528+121=1984P(T \geq 4) = P(T = 4) + P(T = 5) = \frac{5}{28} + \frac{1}{21} = \frac{19}{84}

Let WW be the number of Lee’s 15 games in which he takes at least 4 counters out of the bag. Then W∼B(15, 1984)W \sim B\left( 15,\ \frac{19}{84} \right).

P(W≥5)=1−P(W≤4)P(W \geq 5) = 1 - P(W \leq 4)
=1−0.762…= 1 - 0.762\ldots
=0.238 (3 s.f.)  (by GC)= 0.238\ \left( 3\ \text{s.f.} \right)\ \ \text{(by GC)}

∴\therefore the probability is 0.2380.238 (3 s.f.).

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