· H2 Mathematics — Ten-Year Series, worked ← All 10 questions

2023 A-Level · Paper 2 · Question 9

2023 H2 Maths Paper 2, Question 9

Normal Distribution 14 marks Scenarios involving normal distribution
Download Paper 2 solutions (PDF)

Part (a)

1 mark

Let XX be the length, in metres, of a randomly chosen Long plank: X∼N(1.82, 0.22)X \sim N\left( 1.82,\ {0.2}^{2} \right).

P(X<1.79)≈0.440 (3 s.f.)P(X < 1.79) \approx 0.440\ \left( 3\text{ s.f.} \right)

Explanation: standardising,

P(X<1.79)=P(Z<1.79−1.820.2)P(X < 1.79) = P\left( Z < \frac{1.79 - 1.82}{0.2} \right)
=P(Z<−0.15)= P(Z < - 0.15)
≈0.440 (by GC)\approx 0.440\ \text{(by GC)}

Part (b)

3 marks

Let S=X1+X2+⋯+X8S = X_{1} + X_{2} + \cdots + X_{8} be the total length of 88 randomly chosen Long planks. Since each Xi∼N(1.82, 0.22)X_{i} \sim N\left( 1.82,\ {0.2}^{2} \right) independently,

S∼N(8(1.82), 8(0.22))S \sim N\left( 8(1.82),\ 8\left( {0.2}^{2} \right) \right)
=N(14.56, 0.32)= N(14.56,\ 0.32)
P(S>14.5)=P(Z>14.5−14.560.32)P(S > 14.5) = P\left( Z > \frac{14.5 - 14.56}{\sqrt{0.32}} \right)
=P(Z>−0.106)= P(Z > - 0.106)
≈0.542 (3 s.f.)\approx 0.542\ \left( 3\text{ s.f.} \right)
To check your answer: the mean total 14.5614.56 is only just above 14.514.5, so the probability of exceeding 14.514.5 should be just over 0.50.5 ✓

∴ P(S>14.5)≈0.542\therefore\ P(S > 14.5) \approx 0.542.

Part (c)

2 marks

Let YY be the length, in metres, of a randomly chosen Regular plank: Y∼N(1.22, 0.32)Y \sim N\left( 1.22,\ {0.3}^{2} \right).

P(Y>1.25)=P(Z>1.25−1.220.3)P(Y > 1.25) = P\left( Z > \frac{1.25 - 1.22}{0.3} \right)
=P(Z>0.16‾)= P\left( Z > 0.1\overline{6} \right)
≈0.460 (3 s.f.)\approx 0.460\ \left( 3\text{ s.f.} \right)

Let WW be the number of Sylvio’s 120120 planks that are longer than 1.251.25 m. Since each plank independently has probability ≈0.4602\text{≈}0.4602 of being longer than 1.251.25 m, W∼B(120, 0.4602)W \sim B(120,\ 0.4602) approximately, so

E(W)=120×0.4602E(W) = 120 \times 0.4602
≈55.2\approx 55.2

∴ E(W)≈55.2\therefore\ E(W) \approx 55.2, i.e. about 5555 planks.

Part (d)

3 marks

Approach

We combine the two independent total-length variables as a single normal variable D=L−RD = L - R, then use the symmetric interval P(−0.65<D<0.65)P( - 0.65 < D < 0.65) — this interval is not centred at E(D)E(D), so we standardise both endpoints separately.

Let LL = total length of 1010 randomly chosen Long planks and RR = total length of 1616 randomly chosen Regular planks.

L∼N(10(1.82), 10(0.22))L \sim N\left( 10(1.82),\ 10\left( {0.2}^{2} \right) \right)
=N(18.2, 0.4)= N(18.2,\ 0.4)
R∼N(16(1.22), 16(0.32))R \sim N\left( 16(1.22),\ 16\left( {0.3}^{2} \right) \right)
=N(19.52, 1.44)= N(19.52,\ 1.44)

Let D=L−RD = L - R, the difference between the two total lengths. Since LL and RR are independent,

D∼N(18.2−19.52, 0.4+1.44)D \sim N(18.2 - 19.52,\ 0.4 + 1.44)
=N(−1.32, 1.84)= N( - 1.32,\ 1.84)

We require P(∣D∣<0.65)=P(−0.65<D<0.65)P\left( |D| < 0.65 \right) = P( - 0.65 < D < 0.65):

P(−0.65<D<0.65)=P(−0.65−(−1.32)1.84<Z<0.65−(−1.32)1.84)P( - 0.65 < D < 0.65) = P\left( \frac{- 0.65 - ( - 1.32)}{\sqrt{1.84}} < Z < \frac{0.65 - ( - 1.32)}{\sqrt{1.84}} \right)
⇒P(0.494<Z<1.45)\Rightarrow P(0.494 < Z < 1.45)
≈0.237 (3 s.f.)\approx 0.237\ \left( 3\text{ s.f.} \right)
To check your answer: E(D)=−1.32E(D) = - 1.32 lies outside (−0.65, 0.65)( - 0.65,\ 0.65), so the interval is not centred on the mean, and a probability well below 0.50.5 is expected ✓

∴ P(∣D∣<0.65)≈0.237\therefore\ P\left( |D| < 0.65 \right) \approx 0.237.

Part (e)

5 marks

Approach

A Short plank cut from a Long plank has length X3\frac{X}{3}; one cut from a Regular plank has length Y2\frac{Y}{2}. We find the distribution of each, then of their difference D2=X3−Y2D_{2} = \frac{X}{3} - \frac{Y}{2}, and evaluate P(D2>0)P\left( D_{2} > 0 \right).

A Short plank cut from a Long plank has length X3\frac{X}{3}, where X∼N(1.82, 0.22)X \sim N\left( 1.82,\ {0.2}^{2} \right):

X3∼N(1.823, 0.229)\frac{X}{3} \sim N\left( \frac{1.82}{3},\ \frac{{0.2}^{2}}{9} \right)
=N(0.607, 0.00444) (3 s.f.)= N(0.607,\ 0.00444)\ \left( 3\text{ s.f.} \right)

A Short plank cut from a Regular plank has length Y2\frac{Y}{2}, where Y∼N(1.22, 0.32)Y \sim N\left( 1.22,\ {0.3}^{2} \right):

Y2∼N(1.222, 0.324)\frac{Y}{2} \sim N\left( \frac{1.22}{2},\ \frac{{0.3}^{2}}{4} \right)
=N(0.61, 0.0225)= N(0.61,\ 0.0225)

Let D2=X3−Y2D_{2} = \frac{X}{3} - \frac{Y}{2}. Since X3\frac{X}{3} and Y2\frac{Y}{2} are independent,

D2∼N(0.6067−0.61, 0.004444+0.0225)D_{2} \sim N(0.6067 - 0.61,\ 0.004444 + 0.0225)
=N(−0.00333, 0.0269)= N( - 0.00333,\ 0.0269)

We require P(D2>0)P\left( D_{2} > 0 \right):

P(D2>0)=P(Z>0−(−0.00333)0.0269)P\left( D_{2} > 0 \right) = P\left( Z > \frac{0 - ( - 0.00333)}{\sqrt{0.0269}} \right)
=P(Z>0.0203)= P(Z > 0.0203)
≈0.492 (3 s.f.)\approx 0.492\ \left( 3\text{ s.f.} \right)
To check your answer: E(D2)≈−0.0033E\left( D_{2} \right) \approx - 0.0033 is very close to 00, so the probability should be very close to, but just under, 0.50.5 ✓

∴ P(X3>Y2)≈0.492\therefore\ P\left( \frac{X}{3} > \frac{Y}{2} \right) \approx 0.492.

Part (f)

The Long plank needs two cuts to produce three equal Short pieces, while the Regular plank needs only one cut to produce two equal pieces. If each cut wastes a small amount of length, the Short plank from a Long plank loses length from two cuts, while the Short plank from a Regular plank loses length from only one — reducing E(X3)E\left( \frac{X}{3} \right) by more than E(Y2)E\left( \frac{Y}{2} \right).

∴\therefore the mean of X3\frac{X}{3} decreases by more than the mean of Y2\frac{Y}{2}, so the probability in part (e) would decrease.

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