CAIE S2 2010 November — Question 4 7 marks

Exam BoardCAIE
ModuleS2 (Statistics 2)
Year2010
SessionNovember
Marks7
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TopicLinear combinations of normal random variables
TypeTwo or more different variables
DifficultyStandard +0.3 This is a straightforward application of the standard result for linear combinations of independent normal variables. Students need to find the mean and variance of V = P + Q + 2R using the formulas E(aX + bY) = aE(X) + bE(Y) and Var(aX + bY) = a²Var(X) + b²Var(Y), then calculate P(V ≥ 93) using standardization. It's slightly above average difficulty only because it involves three variables and a coefficient of 2, but requires no problem-solving insight—just routine application of learned formulas.
Spec2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation5.04a Linear combinations: E(aX+bY), Var(aX+bY)5.04b Linear combinations: of normal distributions

4 The masses, in milligrams, of three minerals found in 1 tonne of a certain kind of rock are modelled by three independent random variables \(P , Q\) and \(R\), where \(P \sim \mathrm {~N} \left( 46,19 ^ { 2 } \right) , Q \sim \mathrm {~N} \left( 53,23 ^ { 2 } \right)\) and \(R \sim \mathrm {~N} \left( 25,10 ^ { 2 } \right)\). The total value of the minerals found in 1 tonne of rock is modelled by the random variable \(V\), where \(V = P + Q + 2 R\). Use the model to find the probability of finding minerals with a value of at least 93 in a randomly chosen tonne of rock.

Question 4:
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(E(V) = 46 + 53 + 2 \times 25 = 149\)B1
\(\text{Var}(V) = 19^2 + 23^2 + 4 \times 10^2\)M1 or \(\sqrt{(19^2 + 23^2 + 4 \times 10^2)}\)
\(= 1290\)A1 or \(\sqrt{1290}\) or 35.9
\(\dfrac{93 - 149}{\sqrt{1290}}\)M1 With their mean and their variance
\(= -1.559\)A1ft ft their mean and variance providing 3 random variables used, allow \(+/-\)
\(1 - \Phi(-1.559) = \Phi(1.559)\)M1 Area consistent with their mean
\(= 0.9405\)A1 [7] Accept 0.940 or 0.941 or 0.94
## Question 4:

| Answer/Working | Marks | Guidance |
|---|---|---|
| $E(V) = 46 + 53 + 2 \times 25 = 149$ | B1 | |
| $\text{Var}(V) = 19^2 + 23^2 + 4 \times 10^2$ | M1 | or $\sqrt{(19^2 + 23^2 + 4 \times 10^2)}$ |
| $= 1290$ | A1 | or $\sqrt{1290}$ or 35.9 |
| $\dfrac{93 - 149}{\sqrt{1290}}$ | M1 | With their mean and their variance |
| $= -1.559$ | A1ft | ft their mean and variance providing 3 random variables used, allow $+/-$ |
| $1 - \Phi(-1.559) = \Phi(1.559)$ | M1 | Area consistent with their mean |
| $= 0.9405$ | A1 [7] | Accept 0.940 or 0.941 or 0.94 |

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4 The masses, in milligrams, of three minerals found in 1 tonne of a certain kind of rock are modelled by three independent random variables $P , Q$ and $R$, where $P \sim \mathrm {~N} \left( 46,19 ^ { 2 } \right) , Q \sim \mathrm {~N} \left( 53,23 ^ { 2 } \right)$ and $R \sim \mathrm {~N} \left( 25,10 ^ { 2 } \right)$. The total value of the minerals found in 1 tonne of rock is modelled by the random variable $V$, where $V = P + Q + 2 R$. Use the model to find the probability of finding minerals with a value of at least 93 in a randomly chosen tonne of rock.

\hfill \mbox{\textit{CAIE S2 2010 Q4 [7]}}