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2015 A-Level · Paper 2 · Question 6

2015 H2 Maths Paper 2, Question 6

Binomial distribution 7 marks normal approximation
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Part (i)

2 marks

Let XX be the number of red sweets in a small packet of 10 Droppers. Since each sweet is independently red with probability 0.250.25,

X∼B(10, 0.25).X \sim B(10,\ 0.25).

We want P(X≥4)P(X \geq 4). Converting to cumulative form,

P(X≥4)P(X \geq 4)
⇒1−P(X≤3)\Rightarrow 1 - P(X \leq 3)
=1−0.776= 1 - 0.776
=0.224 (3 s.f., by GC).= 0.224\ \text{(3 s.f., by GC).}

∴\therefore P(X≥4)=0.224P(X \geq 4) = 0.224.

Part (ii)

3 marks

Let YY be the number of red sweets in a large packet of 100 Droppers, so Y∼B(100, 0.25)Y \sim B(100,\ 0.25).

Approach

With n=100n = 100 trials, evaluating the binomial probability term by term is impractical, so we approximate YY by a normal distribution. Since nn is large and np=25>5np = 25 > 5 and nq=75>5nq = 75 > 5, the approximation is valid.

Y∼N(25, 18.75) approximately,Y \sim N(25,\ 18.75)\ \text{approximately,}

since E(Y)=np=25E(Y) = np = 25 and Var(Y)=npq=100(0.25)(0.75)=18.75Var(Y) = \text{npq} = 100(0.25)(0.75) = 18.75.

Note: YY is discrete and we are approximating it by a continuous distribution, so a continuity correction is needed.

P(Y≥30)P(Y \geq 30)
≈P(Y>29.5)\approx P(Y > 29.5)

Standardising, with Z=Y−2518.75Z = \frac{Y - 25}{\sqrt{18.75}},

=P(Z>29.5−2518.75)= P\left( Z > \frac{29.5 - 25}{\sqrt{18.75}} \right)
=P(Z>1.039)= P(Z > 1.039)
=0.149 (3 s.f., by GC).= 0.149\ \text{(3 s.f., by GC).}
To check your answer: the exact binomial value is P(Y≥30)=0.1495P(Y \geq 30) = 0.1495 (by GC), close to the normal approximation 0.14930.1493. ✓

∴\therefore P(Y≥30)=0.149P(Y \geq 30) = 0.149.

Part (iii)

2 marks

Let WW be the number of large packets, out of the 15 Yip buys, that contain at least 30 red sweets. Using the unrounded probability from part (ii), p=P(Y≥30)=0.14935p = P(Y \geq 30) = 0.14935, and since the packets are independent of each other,

W∼B(15, 0.14935).W \sim B(15,\ 0.14935).

We want P(W≤3)P(W \leq 3):

P(W≤3)=0.825 (3 s.f., by GC).P(W \leq 3) = 0.825\ \text{(3 s.f., by GC).}

∴\therefore P(W≤3)=0.825P(W \leq 3) = 0.825.

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