OCR MEI Further Statistics Major 2021 November — Question 2 13 marks

Exam BoardOCR MEI
ModuleFurther Statistics Major (Further Statistics Major)
Year2021
SessionNovember
Marks13
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeVerify probability from combinatorial selection
DifficultyModerate -0.3 This is a structured Further Maths statistics question with clear scaffolding. Part (a) requires basic combinatorial counting (all three dice showing same value: 6 cases out of 216). Parts (d)-(f) involve standard expectation and variance calculations using given probabilities. While it's from Further Maths, the techniques are routine applications of discrete probability formulas with no novel problem-solving required, making it slightly easier than average A-level difficulty.
Spec5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables5.02c Linear coding: effects on mean and variance

2 In a game at a charity fair, a player rolls 3 unbiased six-sided dice. The random variable \(X\) represents the difference between the highest and lowest scores.
  1. Show that \(\mathrm { P } ( X = 0 ) = \frac { 1 } { 36 }\). The table shows the probability distribution of \(X\).
    \(r\)012345
    \(\mathrm { P } ( \mathrm { X } = \mathrm { r } )\)\(\frac { 1 } { 36 }\)\(\frac { 5 } { 36 }\)\(\frac { 2 } { 9 }\)\(\frac { 1 } { 4 }\)\(\frac { 2 } { 9 }\)\(\frac { 5 } { 36 }\)
  2. Draw a graph to illustrate the distribution.
  3. Describe the shape of the distribution.
  4. In this question you must show detailed reasoning. Find each of the following.
    As a result of playing the game, the player receives \(30 X\) pence from the organiser of the game.
  5. Find the variance of the amount that the player receives.
  6. The player pays \(k\) pence to play the game. Given that the average profit made by the organiser is 12.5 pence per game, determine the value of \(k\).

Question 2:
AnswerMarks Guidance
2(a) P(X =0)= 6×1×1
6 6 6
= 1
AnswerMarks
36M1
A1
AnswerMarks Guidance
[2]3.1a
1.1AG Allow M1 for
1×1 = 1
6 6 36
AnswerMarks Guidance
2(b) 0.30
r
0.20
=
)X(P
0.10
0.00
0 1 2 3 4 5
AnswerMarks
rB1
B1
AnswerMarks
[2]1.1
1.1For heights
For axes and labelsRoughly correct but
must have linear scale
Do not allow just P on
vertical axis
AnswerMarks Guidance
2(c) The distribution has (slight) negative skew
[1]1.1 Allow ‘roughly symmetrical’ or
‘unimodal’Not ‘Normal
distribution’
AnswerMarks Guidance
2(d) DR
E(X)=0× 1 +1× 5 +2×2+3×1 +4×2+5× 5
36 36 9 4 9 36
=105 = 35 =2.9166
36 12
E(X2)=02× 1 +12× 5 +22×2+32×1 +42×2+52× 5
36 36 9 4 9 36
= 371=10.3055
36
Var(X)=10.3055−(2.9166)2
= 259 =1.80 (1.7986…)
AnswerMarks
144M1
A1
M1
M1
A1
AnswerMarks
[5]1.1a
1.1
1.1
1.2
AnswerMarks Guidance
1.1Allow fraction or decimal form
2(e) Variance=302×1.7986=1619 (pence2)
[1]1.1
2(f) Average amount received = 30 × 2.916… = 87.5
k – 87.5 = 12.5 k = 100B1
B1
AnswerMarks
[2]3.1a
1.1
Question 2:
2 | (a) | P(X =0)= 6×1×1
6 6 6
= 1
36 | M1
A1
[2] | 3.1a
1.1 | AG | Allow M1 for
1×1 = 1
6 6 36
2 | (b) | 0.30
r
0.20
=
)X(P
0.10
0.00
0 1 2 3 4 5
r | B1
B1
[2] | 1.1
1.1 | For heights
For axes and labels | Roughly correct but
must have linear scale
Do not allow just P on
vertical axis
2 | (c) | The distribution has (slight) negative skew | B1
[1] | 1.1 | Allow ‘roughly symmetrical’ or
‘unimodal’ | Not ‘Normal
distribution’
2 | (d) | DR
E(X)=0× 1 +1× 5 +2×2+3×1 +4×2+5× 5
36 36 9 4 9 36
=105 = 35 =2.9166
36 12
E(X2)=02× 1 +12× 5 +22×2+32×1 +42×2+52× 5
36 36 9 4 9 36
= 371=10.3055
36
Var(X)=10.3055−(2.9166)2
= 259 =1.80 (1.7986…)
144 | M1
A1
M1
M1
A1
[5] | 1.1a
1.1
1.1
1.2
1.1 | Allow fraction or decimal form
2 | (e) | Variance=302×1.7986=1619 (pence2) | B1
[1] | 1.1
2 | (f) | Average amount received = 30 × 2.916… = 87.5
k – 87.5 = 12.5 k = 100 | B1
B1
[2] | 3.1a
1.1
2 In a game at a charity fair, a player rolls 3 unbiased six-sided dice. The random variable $X$ represents the difference between the highest and lowest scores.
\begin{enumerate}[label=(\alph*)]
\item Show that $\mathrm { P } ( X = 0 ) = \frac { 1 } { 36 }$.

The table shows the probability distribution of $X$.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | c | }
\hline
$r$ & 0 & 1 & 2 & 3 & 4 & 5 \\
\hline
$\mathrm { P } ( \mathrm { X } = \mathrm { r } )$ & $\frac { 1 } { 36 }$ & $\frac { 5 } { 36 }$ & $\frac { 2 } { 9 }$ & $\frac { 1 } { 4 }$ & $\frac { 2 } { 9 }$ & $\frac { 5 } { 36 }$ \\
\hline
\end{tabular}
\end{center}
\item Draw a graph to illustrate the distribution.
\item Describe the shape of the distribution.
\item In this question you must show detailed reasoning.

Find each of the following.

\begin{itemize}
  \item $\mathrm { E } ( X )$
  \item $\operatorname { Var } ( X )$
\end{itemize}

As a result of playing the game, the player receives $30 X$ pence from the organiser of the game.
\item Find the variance of the amount that the player receives.
\item The player pays $k$ pence to play the game.

Given that the average profit made by the organiser is 12.5 pence per game, determine the value of $k$.
\end{enumerate}

\hfill \mbox{\textit{OCR MEI Further Statistics Major 2021 Q2 [13]}}