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

2017 A-Level · Paper 2 · Question 10

2017 H2 Maths Paper 2, Question 10

Normal distribution 12 marks sums of normal variables
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Part (i)

1 mark

Let XX be the mass, in grams, of a randomly selected sphere. Then X∼N(20, 0.52)X \sim N\left( 20,\ {0.5}^{2} \right).

Standardising,

P(X>20.2)P(X > 20.2)
⇒P(Z>20.2−200.5)\Rightarrow P\left( Z > \frac{20.2 - 20}{0.5} \right)
⇒P(Z>0.4)\Rightarrow P(Z > 0.4)
=0.345 (3 s.f.)  (by GC)= 0.345\ \left( 3\ \text{s.f.} \right)\ \ \text{(by GC)}

Part (ii)

3 marks

Approach

Coating increases the mass of each sphere by 10%, so the coated mass is a linear transformation, 1.1X1.1X, of the uncoated mass, not X+10% of a fixed amountX + 10\%\ \text{of a fixed amount}.

Let YY be the mass, in grams, of a coated sphere, so Y=1.1XY = 1.1X. Since X∼N(20, 0.52)X \sim N\left( 20,\ {0.5}^{2} \right),

Y∼N(1.1(20), (1.1×0.5)2)=N(22, 0.552)Y \sim N\left( 1.1(20),\ (1.1 \times 0.5)^{2} \right) = N\left( 22,\ {0.55}^{2} \right)
P(21.5<Y<22.45)=0.612 (3 s.f.)  (by GC)P(21.5 < Y < 22.45) = 0.612\ \left( 3\ \text{s.f.} \right)\ \ \text{(by GC)}

∴\therefore Y∼N(22, 0.3025)Y \sim N(22,\ 0.3025), and P(21.5<Y<22.45)=0.612P(21.5 < Y < 22.45) = 0.612 (3 s.f.).

Part (iii)

4 marks

Let BB be the mass, in grams, of a randomly selected metal bar, and let B∼N(μ, σ2)B \sim N\left( \mu,\ \sigma^{2} \right).

P(B>12.2)=0.6andP(B<12)=0.25P(B > 12.2) = 0.6\quad\quad\text{and}\quad\quad P(B < 12) = 0.25

By GC (inverse normal),

12.2−μσ=−0.253347…and12−μσ=−0.674490…\frac{12.2 - \mu}{\sigma} = - 0.253347\ldots\quad\quad\text{and}\quad\quad\frac{12 - \mu}{\sigma} = - 0.674490\ldots
12.2=μ−0.253347σ...(1)12.2 = \mu - 0.253347\sigma\quad\quad\text{...(1)}
12=μ−0.674490σ...(2)12 = \mu - 0.674490\sigma\quad\quad\text{...(2)}

Solving (1) and (2) simultaneously (by GC),

μ=12.3 (3 s.f.),σ=0.475 (3 s.f.)\mu = 12.3\ \left( 3\ \text{s.f.} \right),\quad\quad\sigma = 0.475\ \left( 3\ \text{s.f.} \right)
To check your answer: with μ=12.320\mu = 12.320 and σ=0.47490\sigma = 0.47490, P(B>12.2)=0.600P(B > 12.2) = 0.600 and P(B<12)=0.250P(B < 12) = 0.250, which match. ✓

∴\therefore the mean mass of the bars is 12.3 g12.3\ g and the standard deviation is 0.475 g0.475\ g (3 s.f.).

Part (iv)

4 marks

Approach

The total mass of a component is a sum of three independent normal random variables (two coated spheres and one bar), so it is itself normal, with mean and variance found by adding the individual means and variances.

Let T=Y1+Y2+BT = Y_{1} + Y_{2} + B, where Y1,Y2Y_{1},Y_{2} are the masses of the two coated spheres and BB is the mass of the bar, be the total mass, in grams, of the component. Since Y1,Y2∼N(22, 0.3025)Y_{1},Y_{2} \sim N(22,\ 0.3025) independently and B∼N(12.320, 0.474902)B \sim N\left( 12.320,\ {0.47490}^{2} \right) independently of Y1,Y2Y_{1},Y_{2},

T∼N(2(22)+12.320, 2(0.3025)+0.474902)=N(56.320, 0.83053) (5 s.f.)T \sim N\left( 2(22) + 12.320,\ 2(0.3025) + {0.47490}^{2} \right) = N(56.320,\ 0.83053)\ \text{(5 s.f.)}

Since P(T>k)=0.75P(T > k) = 0.75, by GC (inverse normal),

k=55.7 (3 s.f.)k = 55.7\ \left( 3\ \text{s.f.} \right)

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