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2016 A-Level · Paper 2 · Question 9

2016 H2 Maths Paper 2, Question 9

Normal and binomial distributions 10 marks
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Part (a)

2 marks

Since X∼N(15, a2)X \sim N\left( 15,\ a^{2} \right), the distribution is symmetric about μ=15\mu = 15, and 1010 and 2020 are symmetric about 1515 (each 55 away from the mean). Since P(10<X<20)=0.5P(10 < X < 20) = 0.5, the two remaining tails together have probability 0.50.5, split equally by symmetry:

P(X<10)=P(X>20)=1−0.52=0.25P(X < 10) = P(X > 20) = \frac{1 - 0.5}{2} = 0.25

so

P(X<20)=1−0.25=0.75.P(X < 20) = 1 - 0.25 = 0.75.

Standardising, Z=X−15a∼N(0,1)Z = \frac{X - 15}{a} \sim N(0,1), and

P(Z<20−15a)=0.75P\left( Z < \frac{20 - 15}{a} \right) = 0.75
5a=0.674 (by GC, invNorm(0.75))\frac{5}{a} = 0.674\ \text{(by GC, invNorm}(0.75)\text{)}
a=50.6744897…a = \frac{5}{0.6744897\ldots}
=7.41 (3 s.f.)= 7.41\ \text{(3 s.f.)}

∴a=7.41\therefore a = 7.41.

Part (b)

4 marks

Approach

P(Y=1)+P(Y=2)P(Y = 1) + P(Y = 2) expands to a polynomial in pp; we expand and collect it to reach the given quartic, then solve the quartic by GC and reject any root outside 0<p<10 < p < 1 (since pp is a probability).

Let Y∼B(4,p)Y \sim B(4,p). Then

P(Y=1)=(41)p(1−p)3=4p(1−p)3P(Y = 1) = \binom{4}{1}p(1 - p)^{3} = 4p(1 - p)^{3}
P(Y=2)=(42)p2(1−p)2=6p2(1−p)2.P(Y = 2) = \binom{4}{2}p^{2}(1 - p)^{2} = 6p^{2}(1 - p)^{2}.

Given P(Y=1)+P(Y=2)=0.5P(Y = 1) + P(Y = 2) = 0.5,

4p(1−p)3+6p2(1−p)24p(1 - p)^{3} + 6p^{2}(1 - p)^{2}
=4p(1−3p+3p2−p3)+6p2(1−2p+p2)= 4p\left( 1 - 3p + 3p^{2} - p^{3} \right) + 6p^{2}\left( 1 - 2p + p^{2} \right)
=4p−12p2+12p3−4p4+6p2−12p3+6p4= 4p - 12p^{2} + 12p^{3} - 4p^{4} + 6p^{2} - 12p^{3} + 6p^{4}
=2p4−6p2+4p= 2p^{4} - 6p^{2} + 4p
=0.5.= 0.5.

Multiplying both sides by 22,

4p4−12p2+8p=1  (shown)4p^{4} - 12p^{2} + 8p = 1\ \ \text{(shown)}

Rearranging and solving 4p4−12p2+8p−1=04p^{4} - 12p^{2} + 8p - 1 = 0 by GC,

p=0.166, 0.599, 1.25 (rej. as p>1), −2.01 (rej. as p<0)p = 0.166,\ 0.599,\ 1.25\ \text{(rej. as }p > 1\text{)},\ - 2.01\ \text{(rej. as }p < 0\text{)}

all values by GC, the last two rejected since 0<p<10 < p < 1.

∴ p=0.166\therefore\ p = 0.166 or p=0.599p = 0.599 (3 s.f.).

Part (c)

4 marks

Approach

each question has probability 13\frac{1}{3} of being guessed correctly, and George answers 100100 questions independently, so the number correct is B(100, 13)B\left( 100,\ \frac{1}{3} \right). With np=33.3>5np = 33.3 > 5 and n(1−p)=66.7>5n(1 - p) = 66.7 > 5, we approximate this by a normal distribution, applying a continuity correction since we are approximating a discrete distribution by a continuous one.

Let WW be the number of questions George guesses correctly, out of 100100. Then

W∼B(100, 13).W \sim B\left( 100,\ \frac{1}{3} \right).

Since np=100×13=33.3>5np = 100 \times \frac{1}{3} = 33.3 > 5 and n(1−p)=100×23=66.7>5n(1 - p) = 100 \times \frac{2}{3} = 66.7 > 5, we use the approximation

W∼N(33.3, 22.2) approximately,W \sim N(33.3,\ 22.2)\ \text{approximately,}

where E(W)=33.3E(W) = 33.3 and Var(W)=100×13×23=22.2Var(W) = 100 \times \frac{1}{3} \times \frac{2}{3} = 22.2 (to 3 s.f.).

Applying a continuity correction (since WW is discrete),

P(W≥30)P(W \geq 30)
≈P(W>29.5)\approx P(W > 29.5)
=0.792 (3 s.f., by GC).= 0.792\ \text{(3 s.f., by GC).}
To check your answer: the exact binomial value is P(W≥30)=0.791P(W \geq 30) = 0.791 (3 s.f., by GC), very close to the normal approximation 0.7920.792. ✓

∴ P(George guesses at least 30 questions right)=0.792\therefore\ P\left( \text{George guesses at least }30\text{ questions right} \right) = 0.792.

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