Edexcel S3 2003 June — Question 3 9 marks

Exam BoardEdexcel
ModuleS3 (Statistics 3)
Year2003
SessionJune
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear combinations of normal random variables
TypeTwo or more different variables
DifficultyModerate -0.5 This is a straightforward application of standard results for linear combinations of independent normal variables. Students need to recall that E(X-Y) = E(X) - E(Y) and Var(X-Y) = Var(X) + Var(Y), then perform a routine normal probability calculation. All three parts are direct applications of learned formulas with no problem-solving or insight required, making it slightly easier than average.
Spec5.04a Linear combinations: E(aX+bY), Var(aX+bY)

3. Given the random variables \(X \sim \mathrm {~N} ( 20,5 )\) and \(Y \sim \mathrm {~N} ( 10,4 )\) where \(X\) and \(Y\) are independent, find
  1. \(\mathrm { E } ( X - Y )\),
  2. \(\operatorname { Var } ( X - Y )\),
  3. \(\mathrm { P } ( 13 < X - Y < 16 )\).

3. Given the random variables $X \sim \mathrm {~N} ( 20,5 )$ and $Y \sim \mathrm {~N} ( 10,4 )$ where $X$ and $Y$ are independent, find
\begin{enumerate}[label=(\alph*)]
\item $\mathrm { E } ( X - Y )$,
\item $\operatorname { Var } ( X - Y )$,
\item $\mathrm { P } ( 13 < X - Y < 16 )$.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S3 2003 Q3 [9]}}