Standard +0.3 This is a straightforward application of standard results for linear combinations of normal random variables. Part (a) requires adding three independent normals (mean sum, variance sum) and a basic probability calculation. Part (b) involves the coefficient rule (2A means variance multiplied by 4). Both parts are routine textbook exercises requiring only recall of formulas and calculator work, with no problem-solving insight needed. Slightly easier than average due to the mechanical nature.
1 The performance of a piece of music is being recorded. The piece consists of three sections, \(A , B\) and \(C\). The times, in seconds, taken to perform the three sections are normally distributed random variables with the following means and standard deviations.
\end{table}
Question
Answer
Mark
AO
Guidance
\multirow[t]{3}{*}{1}
\multirow[t]{3}{*}{(a)}
\(A + B + C \sim \mathrm {~N} ( 701 , \ldots\)
.. 419)
M1
1.1a
Normal, mean \(\mu _ { A } + \mu _ { B } + \mu _ { C }\)
\multirow{3}{*}{}
A1
1.1
Variance 419
\(\mathrm { P } ( > 720 ) = 0.176649\)
A1
1.1
Answer, 0.177 or better, www
\multirow[t]{2}{*}{1}
\multirow[t]{2}{*}{(b)}
\(2 A + B \sim \mathrm {~N} ( 701,757 )\)
M1
1.1a
Normal, same mean, \(4 \sigma _ { A } { } ^ { 2 } + \sigma _ { B } { } ^ { 2 }\)
\frac { 2 } { 3 } a = 4 \Rightarrow a = 6 \end{aligned}\)
M1
B1
A1 [3]
3.1a
1.1
2.2a
4
(b)
\(\mathrm { F } ( x ) = \frac { x ^ { 2 } } { 36 }\)
Let the CDF of \(M\) be \(\mathrm { H } ( m )\). Then \(\mathrm { H } ( m ) = \mathrm { P } (\) all observations less than \(m )\) \(= [ \mathrm { P } ( X \leqslant m ) ] ^ { 5 }\) \(= \left[ \frac { m ^ { 2 } } { 36 } \right] ^ { 5 }\)
\(\mathrm { H } ( m ) = \begin{cases} 0
m < 0 ,
\frac { m ^ { 10 } } { 60466176 }
0 \leq m \leq 6 ,
1
m > 6 . \end{cases}\)
M1 A1ft
M1
M1
A1
A1
A1
A1
[8]
1.1
1.1
2.1
3.1a
2.2a
2.1
2.1
1.2
Find \(\mathrm { F } ( x ) ; = \frac { x ^ { 2 } } { a ^ { 2 } }\)
Correct basis for CDF of \(m\)
Correct function, any letter Range \(0 \leq m \leq 6\)