· H2 Mathematics — Ten-Year Series, worked ← All 12 questions

2015 A-Level · Paper 2 · Question 12

2015 H2 Maths Paper 2, Question 12

Normal distribution 9 marks sums of normal variables
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Part (i)

2 marks

Let XX be the mass, in grams, of a randomly chosen apple, so X∼N(300,202)X \sim N\left( 300,20^{2} \right).

Let T=X1+X2+X3+X4+X5T = X_{1} + X_{2} + X_{3} + X_{4} + X_{5} be the total mass of 55 randomly chosen apples, where X1,…,X5X_{1},\ldots,X_{5} are independent and each distributed as XX.

E(T)=5(300)=1500E(T) = 5(300) = 1500
Var(T)=5(202)=2000Var(T) = 5\left( 20^{2} \right) = 2000

so T∼N(1500,2000)T \sim N(1500,2000).

Standardising,

P(T>1600)=P(Z>1600−15002000)P(T > 1600) = P\left( Z > \frac{1600 - 1500}{\sqrt{2000}} \right)
=0.0127 (3 s.f., by GC).= 0.0127\ \text{(3 s.f., by GC).}

∴\therefore P(T>1600)=0.0127P(T > 1600) = 0.0127.

Part (ii)

3 marks

Let YY be the mass, in grams, of a randomly chosen pear, so Y∼N(200,152)Y \sim N\left( 200,15^{2} \right).

Let S=Y1+⋯+Y8S = Y_{1} + \cdots + Y_{8} be the total mass of 88 randomly chosen pears, where Y1,…,Y8Y_{1},\ldots,Y_{8} are independent and each distributed as YY.

E(S)=8(200)=1600E(S) = 8(200) = 1600
Var(S)=8(152)=1800Var(S) = 8\left( 15^{2} \right) = 1800

so S∼N(1600,1800)S \sim N(1600,1800).

Approach

the question asks for P(T>S)P(T > S), a comparison between two sums. We handle this by working with the single random variable D=T−SD = T - S, whose distribution follows from TT and SS both being normal.

Let D=T−SD = T - S, the total mass of the 55 apples minus the total mass of the 88 pears.

E(D)=E(T)−E(S)=1500−1600=−100E(D) = E(T) - E(S) = 1500 - 1600 = - 100
Var(D)=Var(T)+Var(S)=2000+1800=3800Var(D) = Var(T) + Var(S) = 2000 + 1800 = 3800

Note: Var(D)=Var(T)+Var(S)Var(D) = Var(T) + Var(S), not Var(T)−Var(S)Var(T) - Var(S), since TT and SS are independent.

so D∼N(−100,3800)D \sim N( - 100,3800).

P(T>S)=P(D>0)P(T > S) = P(D > 0)
=0.0524 (3 s.f., by GC).= 0.0524\ \text{(3 s.f., by GC).}

∴\therefore P(T>S)=0.0524P(T > S) = 0.0524.

Part (iii)

4 marks

Approach

peeling and coring an apple scales its mass by a constant factor 0.850.85 (a reduction of 15%15\%), and a pear’s mass by 0.90.9 (a reduction of 10%10\%). Since a linear transformation of a normal random variable is normal, the prepared masses are still normally distributed, with mean and variance scaled accordingly — the variance scales by the square of the factor.

Let X′=0.85XX'= 0.85X be the mass, in grams, of a prepared apple, and Y′=0.9YY'= 0.9Y be the mass, in grams, of a prepared pear.

E(X′)=0.85(300)=255,Var(X′)=0.852(202)=289E(X') = 0.85(300) = 255,\quad\quad Var(X') = {0.85}^{2}\left( 20^{2} \right) = 289

so X′∼N(255,289)X'\sim N(255,289).

E(Y′)=0.9(200)=180,Var(Y′)=0.92(152)=182.25E(Y') = 0.9(200) = 180,\quad\quad Var(Y') = {0.9}^{2}\left( 15^{2} \right) = 182.25

so Y′∼N(180,182.25)Y'\sim N(180,182.25).

Let U=X1′+⋯+X5′+Y1′+⋯+Y8′U = X'_{1} + \cdots + X'_{5} + Y'_{1} + \cdots + Y'_{8} be the total prepared mass of 55 apples and 88 pears, where all 1313 masses are independent.

E(U)=5(255)+8(180)=1275+1440=2715E(U) = 5(255) + 8(180) = 1275 + 1440 = 2715
Var(U)=5(289)+8(182.25)=1445+1458=2903Var(U) = 5(289) + 8(182.25) = 1445 + 1458 = 2903

so U∼N(2715,2903)U \sim N(2715,2903).

P(U<2750)=P(Z<2750−27152903)P(U < 2750) = P\left( Z < \frac{2750 - 2715}{\sqrt{2903}} \right)
=0.742 (3 s.f., by GC).= 0.742\ \text{(3 s.f., by GC).}
To check your answer: E(U)=2715E(U) = 2715 is already close to and below 27502750, and 27502750 is under one standard deviation (2903≈53.9\sqrt{2903} \approx 53.9) above the mean, so a probability just above 0.50.5 (here 0.7420.742) is a sensible size. ✓

∴\therefore P(U<2750)=0.742P(U < 2750) = 0.742.

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