OCR Further Statistics 2021 June — Question 1 5 marks

Exam BoardOCR
ModuleFurther Statistics (Further Statistics)
Year2021
SessionJune
Marks5
TopicLinear combinations of normal random variables
TypeMultiple stage process probability
DifficultyStandard +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.
Spec5.04a Linear combinations: E(aX+bY), Var(aX+bY)5.04b Linear combinations: of normal distributions

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}
QuestionAnswerMarkAOGuidance
\multirow[t]{3}{*}{1}\multirow[t]{3}{*}{(a)}
\(A + B + C \sim \mathrm {~N} ( 701 , \ldots\)
.. 419)
M11.1aNormal, mean \(\mu _ { A } + \mu _ { B } + \mu _ { C }\)\multirow{3}{*}{}
A11.1Variance 419
\(\mathrm { P } ( > 720 ) = 0.176649\)A11.1Answer, 0.177 or better, www
\multirow[t]{2}{*}{1}\multirow[t]{2}{*}{(b)}\(2 A + B \sim \mathrm {~N} ( 701,757 )\)M11.1aNormal, same mean, \(4 \sigma _ { A } { } ^ { 2 } + \sigma _ { B } { } ^ { 2 }\)\multirow{2}{*}{}
\(\mathrm { P } ( > 720 ) = 0.244919\)A1 [2]1.1Answer, art 0.245
\multirow{2}{*}{2}\multirow{2}{*}{(a)}\(\frac { { } ^ { 8 } C _ { 3 } \times { } ^ { 20 } C _ { 5 } } { { } ^ { 28 } C _ { 8 } }\)M1 A13.1b 1.1(Product of two \({ } ^ { n } C _ { r }\) ) ÷ \({ } ^ { n } C _ { r }\) At least two \({ } ^ { n } C _ { r }\) correct\multirow[t]{2}{*}{Or \(\frac { 8 } { 28 } \times \frac { 7 } { 27 } \times \frac { 6 } { 26 } \times \frac { 20 } { 25 } \times \ldots \times \frac { 16 } { 21 } \times { } ^ { 8 } C _ { 3 } = 0.27934 \ldots\)}
\(\frac { 56 \times 15504 } { 3108105 } = 0.27934 \ldots\)A1 [3]1.1Any exact form or awrt 0.279
2(b)
× B × B × B × B × B × B × B × B x
GGG in one \(\mathrm { x } , \mathrm { G }\) in another: \(9 \times 8\) \(\div \frac { 12 ! } { 8 ! \times 4 ! }\) \(= \frac { 72 } { 495 } = \frac { 8 } { 55 } \text { or } 0.145 \ldots\)
M1 A13.1b 2.1
Or e.g. \(\frac { 10 ! } { 8 ! } - 2 \times 9\)
Divide by \({ } _ { 12 } \mathrm { C } _ { 4 }\) oe
Or, e.g. find \({ } _ { 12 } \mathrm { C } _ { 4 }\) - (\# (all separate) +\#(all together) \(+ \# ( 2,1,1 ) \times 3 +\) \#(2,2))
M11.1
A11.1
[4]
QuestionAnswerMarkAOGuidance
\multirow{7}{*}{3}\multirow{7}{*}{(a)}\(\mathrm { H } _ { 0 } : \mu = 700\)B21.1One error, e.g. no or wrongIgnore failure to define \(\mu\)
\(\mathrm { H } _ { 1 } : \mu < 700\) where \(\mu\) is the mean reaction1.1letter, \(\neq\), etc : B1here
\(\bar { x } = 607\)M13.3Find sample mean
\(z = - 1.822\) or \(p = 0.0342\) or \(\mathrm { CV } = 616.05 \ldots\)A13.4Correct \(z , p\) or CV
\(z < - 1.645\) or \(p < 0.05\) or \(607 < \mathrm { CV }\)A11.1Correct comparison
Reject \(\mathrm { H } _ { 0 }\)M1ft1.1Correct first conclusionNeeds correct method, like-
Significant evidence that mean reaction timesA1ft2.2bContext, not too definite (e.g. not "international athletes' reaction times are shorter"ft on their \(z , p\) or CV
3(b)(i)Uses more information (e.g. magnitudes of differences)B1 [1]2.4
\multirow{5}{*}{3}\multirow{5}{*}{(b)}\multirow{5}{*}{(ii)}\(\mathrm { H } _ { 0 } : m = 700 , \mathrm { H } _ { 1 } : m < 700\) where \(m\) is the median reaction time for all international athletesB12.5Same as in (i) but different letter or "median" stated
\(W _ { - } = 18\)
\(W _ { + } = 3\) so \(T = 3\)
For both, and \(T\) correct
\(n = 6 , \mathrm { CV } = 2\)A11.1Correct CV
Do not reject \(\mathrm { H } _ { 0 }\). Insufficient evidence that median reaction times of international athletes are shorterA1ft [6]2.2bIn context, not too definiteFT on their \(T\)
3(c)They use different assumptionsB1 [1]2.3Not "one is more accurate"
QuestionAnswerMarkAOGuidance
4(a)\(\begin{aligned}\int _ { 0 } ^ { a } x \frac { 2 x } { a ^ { 2 } } d x = 4
{ \left[ \frac { 2 x ^ { 3 } } { 3 a ^ { 2 } } \right] = 4 }
\frac { 2 } { 3 } a = 4 \Rightarrow a = 6 \end{aligned}\)
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 \(m )\) \(= [ \mathrm { P } ( X \leqslant m ) ] ^ { 5 }\) \(= \left[ \frac { m ^ { 2 } } { 36 } \right] ^ { 5 }\)
\(\mathrm { H } ( m ) = \begin{cases} 0m < 0 ,
\frac { m ^ { 10 } } { 60466176 }0 \leq m \leq 6 ,
1m > 6 . \end{cases}\)
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 \(0 \leq m \leq 6\)
Letter not \(x\), and 0, 1 present
ft on their \(a\)
Allow

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}

\begin{center}
\begin{tabular}{|l|l|l|l|l|l|l|}
\hline
\multicolumn{2}{|c|}{Question} & Answer & Mark & AO & \multicolumn{2}{|l|}{Guidance} \\
\hline
\multirow[t]{3}{*}{1} & \multirow[t]{3}{*}{(a)} & \begin{tabular}{l}
\(A + B + C \sim \mathrm {~N} ( 701 , \ldots\) \\
.. 419) \\
\end{tabular} & M1 & 1.1a & Normal, mean $\mu _ { A } + \mu _ { B } + \mu _ { C }$ & \multirow{3}{*}{} \\
\hline
 &  &  & A1 & 1.1 & Variance 419 &  \\
\hline
 &  & $\mathrm { P } ( > 720 ) = 0.176649$ & A1 & 1.1 & Answer, 0.177 or better, www &  \\
\hline
\multirow[t]{2}{*}{1} & \multirow[t]{2}{*}{(b)} & $2 A + B \sim \mathrm {~N} ( 701,757 )$ & M1 & 1.1a & Normal, same mean, $4 \sigma _ { A } { } ^ { 2 } + \sigma _ { B } { } ^ { 2 }$ & \multirow{2}{*}{} \\
\hline
 &  & $\mathrm { P } ( > 720 ) = 0.244919$ & A1 [2] & 1.1 & Answer, art 0.245 &  \\
\hline
\multirow{2}{*}{2} & \multirow{2}{*}{(a)} & $\frac { { } ^ { 8 } C _ { 3 } \times { } ^ { 20 } C _ { 5 } } { { } ^ { 28 } C _ { 8 } }$ & M1 A1 & 3.1b 1.1 & (Product of two ${ } ^ { n } C _ { r }$ ) ÷ ${ } ^ { n } C _ { r }$ At least two ${ } ^ { n } C _ { r }$ correct & \multirow[t]{2}{*}{Or $\frac { 8 } { 28 } \times \frac { 7 } { 27 } \times \frac { 6 } { 26 } \times \frac { 20 } { 25 } \times \ldots \times \frac { 16 } { 21 } \times { } ^ { 8 } C _ { 3 } = 0.27934 \ldots$} \\
\hline
 &  & $\frac { 56 \times 15504 } { 3108105 } = 0.27934 \ldots$ & A1 [3] & 1.1 & Any exact form or awrt 0.279 &  \\
\hline
2 & (b) & \begin{tabular}{l}
× B × B × B × B × B × B × B × B x \\
GGG in one $\mathrm { x } , \mathrm { G }$ in another: $9 \times 8$ \(\div \frac { 12 ! } { 8 ! \times 4 ! }\) \(= \frac { 72 } { 495 } = \frac { 8 } { 55 } \text { or } 0.145 \ldots\) \\
\end{tabular} & M1 A1 & 3.1b 2.1 & \begin{tabular}{l}
Or e.g. $\frac { 10 ! } { 8 ! } - 2 \times 9$ \\
Divide by ${ } _ { 12 } \mathrm { C } _ { 4 }$ oe \\
\end{tabular} & Or, e.g. find ${ } _ { 12 } \mathrm { C } _ { 4 }$ - (\# (all separate) +\#(all together) $+ \# ( 2,1,1 ) \times 3 +$ \#(2,2)) \\
\hline
 &  &  & M1 & 1.1 &  &  \\
\hline
 &  &  & A1 & 1.1 &  &  \\
\hline
 &  &  & [4] &  &  &  \\
\hline
\end{tabular}
\end{center}

\begin{center}
\begin{tabular}{|l|l|l|l|l|l|l|l|}
\hline
\multicolumn{3}{|c|}{Question} & Answer & Mark & AO & \multicolumn{2}{|l|}{Guidance} \\
\hline
\multirow{7}{*}{3} & \multirow{7}{*}{(a)} &  & $\mathrm { H } _ { 0 } : \mu = 700$ & B2 & 1.1 & One error, e.g. no or wrong & Ignore failure to define $\mu$ \\
\hline
 &  &  & $\mathrm { H } _ { 1 } : \mu < 700$ where $\mu$ is the mean reaction &  & 1.1 & letter, $\neq$, etc : B1 & here \\
\hline
 &  &  & $\bar { x } = 607$ & M1 & 3.3 & Find sample mean &  \\
\hline
 &  &  & $z = - 1.822$ or $p = 0.0342$ or $\mathrm { CV } = 616.05 \ldots$ & A1 & 3.4 & Correct $z , p$ or CV &  \\
\hline
 &  &  & $z < - 1.645$ or $p < 0.05$ or $607 < \mathrm { CV }$ & A1 & 1.1 & Correct comparison &  \\
\hline
 &  &  & Reject $\mathrm { H } _ { 0 }$ & M1ft & 1.1 & Correct first conclusion & Needs correct method, like- \\
\hline
 &  &  & Significant evidence that mean reaction times & A1ft & 2.2b & Context, not too definite (e.g. not "international athletes' reaction times are shorter" & ft on their $z , p$ or CV \\
\hline
3 & (b) & (i) & Uses more information (e.g. magnitudes of differences) & B1 [1] & 2.4 &  &  \\
\hline
\multirow{5}{*}{3} & \multirow{5}{*}{(b)} & \multirow{5}{*}{(ii)} & $\mathrm { H } _ { 0 } : m = 700 , \mathrm { H } _ { 1 } : m < 700$ where $m$ is the median reaction time for all international athletes & B1 & 2.5 & Same as in (i) but different letter or "median" stated &  \\
\hline
 &  &  & \begin{tabular}{l}
$W _ { - } = 18$ \\
$W _ { + } = 3$ so $T = 3$ \\
\end{tabular} &  &  &  &  \\
\hline
 &  &  &  &  &  & For both, and $T$ correct &  \\
\hline
 &  &  & $n = 6 , \mathrm { CV } = 2$ & A1 & 1.1 & Correct CV &  \\
\hline
 &  &  & Do not reject $\mathrm { H } _ { 0 }$. Insufficient evidence that median reaction times of international athletes are shorter & A1ft [6] & 2.2b & In context, not too definite & FT on their $T$ \\
\hline
3 & (c) &  & They use different assumptions & B1 [1] & 2.3 &  & Not "one is more accurate" \\
\hline
\end{tabular}
\end{center}

\begin{center}
\begin{tabular}{|l|l|l|l|l|l|l|l|}
\hline
\multicolumn{3}{|c|}{Question} & Answer & Mark & AO & \multicolumn{2}{|l|}{Guidance} \\
\hline
4 & (a) &  & \(\begin{aligned} & \int _ { 0 } ^ { a } x \frac { 2 x } { a ^ { 2 } } d x = 4 \\ & { \left[ \frac { 2 x ^ { 3 } } { 3 a ^ { 2 } } \right] = 4 } \\ & \frac { 2 } { 3 } a = 4 \Rightarrow a = 6 \end{aligned}\) & \begin{tabular}{l}
M1 \\
B1 \\
A1 [3] \\
\end{tabular} & \begin{tabular}{l}
3.1a \\
1.1 \\
2.2a \\
\end{tabular} &  &  \\
\hline
4 & (b) &  & \begin{tabular}{l}
\(\mathrm { F } ( x ) = \frac { x ^ { 2 } } { 36 }\) \\
Let the CDF of $M$ be $\mathrm { H } ( m )$. Then $\mathrm { H } ( m ) = \mathrm { P } ($ all observations less than $m )$ \(= [ \mathrm { P } ( X \leqslant m ) ] ^ { 5 }\) \(= \left[ \frac { m ^ { 2 } } { 36 } \right] ^ { 5 }\) \\
$\mathrm { H } ( m ) = \begin{cases} 0 & m < 0 , \\ \frac { m ^ { 10 } } { 60466176 } & 0 \leq m \leq 6 , \\ 1 & m > 6 . \end{cases}$ \\
\end{tabular} & \begin{tabular}{l}
M1 A1ft \\
M1 \\
M1 \\
A1 \\
A1 \\
A1 \\
A1 \\[0pt]
[8] \\
\end{tabular} & \begin{tabular}{l}
1.1 \\
1.1 \\
2.1 \\
3.1a \\
2.2a \\
2.1 \\
2.1 \\
1.2 \\
\end{tabular} & \begin{tabular}{l}
Find $\mathrm { F } ( x ) ; = \frac { x ^ { 2 } } { a ^ { 2 } }$ \\
Correct basis for CDF of $m$ \\
Correct function, any letter Range $0 \leq m \leq 6$ \\
Letter not $x$, and 0, 1 present \\
\end{tabular} & \begin{tabular}{l}
ft on their $a$ \\
Allow </ s throughout \\
\end{tabular} \\
\hline
\end{tabular}
\end{center}

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