Standard +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.
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.
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]}}