Pre-U Pre-U 9795/2 2016 June — Question 2 4 marks

Exam BoardPre-U
ModulePre-U 9795/2 (Pre-U Further Mathematics Paper 2)
Year2016
SessionJune
Marks4
TopicLinear combinations of normal random variables
TypeComparison involving sums or multiples
DifficultyStandard +0.8 Part (i) requires converting a cost constraint to a mass threshold and standardizing a normal variable (routine). Part (ii) involves forming linear combinations of independent normals (4B vs 3S), finding the distribution of their difference, and computing a probability—this requires solid understanding of variance rules for independent variables and is more demanding than typical A-level statistics questions, though still a standard Further Maths technique.
Spec2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation5.04b Linear combinations: of normal distributions

2 The mass in grams of a pre-cut piece of Brie cheese is a random variable with the distribution \(\mathrm { N } ( 150,1200 )\). Brie costs 80 p per 100 g .
  1. Find the probability that a randomly chosen piece of Brie costs more than \(\pounds 1.40\). The mass in grams of a pre-cut piece of Stilton cheese is an independent random variable with the distribution \(\mathrm { N } ( 180,1500 )\).
  2. Find the probability that the total mass of four randomly chosen pieces of Brie is less than the total mass of three randomly chosen pieces of Stilton.

(i) \(\text{N}(120, \ldots)\)
\(\sigma^2 = 0.8^2 \times 1200\ [= 768]\)
\(1 - \Phi\!\left(\dfrac{140-120}{\sqrt{768}}\right) = \mathbf{0.235}(3)\)
- M1: Normal, mean 120 or 1.20
- M1: Allow \(0.8 \times 1200\) etc
- A1: Both parameters correct
- A1: Answer, in range \([0.235, 0.236]\)
OR: \(P(\geq 175)\) from \(\text{N}(150, 200)\): M1; \(\dfrac{175-150}{\sqrt{1200}}\): A1; \(0.235(3)\): A2
[4]
(ii) \(B_1 + B_2 + B_3 + B_4 - S_1 - S_2 - S_3 \sim \text{N}(60, \ldots)\)
Variance \(4\times1200 + 3\times1500 = 9300\)
\(\Phi\!\left(\dfrac{0-60}{\sqrt{9300}}\right) = \Phi(-0.622) = \mathbf{0.267}\)
- M1: Consider \(\pm(B_1+B_2+B_3+B_4-S_1-S_2-S_3)\) or \(4B-3S\)
- M1: Normal, mean 60
- A1: Correct variance
- A1: Answer, a.r.t. 0.267 [0.2699] [NB: \(\Phi(-60/\sqrt{33700}) = 0.3700\) is 2/4]
[4]
(i) $\text{N}(120, \ldots)$

$\sigma^2 = 0.8^2 \times 1200\ [= 768]$

$1 - \Phi\!\left(\dfrac{140-120}{\sqrt{768}}\right) = \mathbf{0.235}(3)$

- M1: Normal, mean 120 or 1.20
- M1: Allow $0.8 \times 1200$ etc
- A1: Both parameters correct
- A1: Answer, in range $[0.235, 0.236]$

OR: $P(\geq 175)$ from $\text{N}(150, 200)$: M1; $\dfrac{175-150}{\sqrt{1200}}$: A1; $0.235(3)$: A2

**[4]**

(ii) $B_1 + B_2 + B_3 + B_4 - S_1 - S_2 - S_3 \sim \text{N}(60, \ldots)$

Variance $4\times1200 + 3\times1500 = 9300$

$\Phi\!\left(\dfrac{0-60}{\sqrt{9300}}\right) = \Phi(-0.622) = \mathbf{0.267}$

- M1: Consider $\pm(B_1+B_2+B_3+B_4-S_1-S_2-S_3)$ or $4B-3S$
- M1: Normal, mean 60
- A1: Correct variance
- A1: Answer, a.r.t. 0.267 [0.2699] [NB: $\Phi(-60/\sqrt{33700}) = 0.3700$ is 2/4]

**[4]**
2 The mass in grams of a pre-cut piece of Brie cheese is a random variable with the distribution $\mathrm { N } ( 150,1200 )$. Brie costs 80 p per 100 g .\\
(i) Find the probability that a randomly chosen piece of Brie costs more than $\pounds 1.40$.

The mass in grams of a pre-cut piece of Stilton cheese is an independent random variable with the distribution $\mathrm { N } ( 180,1500 )$.\\
(ii) Find the probability that the total mass of four randomly chosen pieces of Brie is less than the total mass of three randomly chosen pieces of Stilton.

\hfill \mbox{\textit{Pre-U Pre-U 9795/2 2016 Q2 [4]}}