| Exam Board | OCR MEI |
|---|---|
| Module | Further Statistics Major (Further Statistics Major) |
| Year | 2019 |
| Session | June |
| Marks | 14 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Continuous Probability Distributions and Random Variables |
| Type | Find parameter from median |
| Difficulty | Standard +0.8 This is a multi-part Further Maths statistics question requiring integration to find k, deriving the CDF, then solving a non-trivial equation involving substitution p=2^m. Part (c) requires algebraic manipulation and insight to reach the given form, followed by solving for m from a quadratic. While systematic, it demands careful algebra across multiple steps and is above standard A-level difficulty due to the Further Maths content and the non-obvious substitution. |
| Spec | 5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03e Find cdf: by integration |
| Answer | Marks | Guidance |
|---|---|---|
| 10 | (a) | a |
| Answer | Marks |
|---|---|
| m1 am1 | M1 |
| Answer | Marks |
|---|---|
| [3] | For integral equated to 1 |
| Answer | Marks | Guidance |
|---|---|---|
| 10 | (b) | xm1 |
| Answer | Marks |
|---|---|
| | B1 |
| Answer | Marks |
|---|---|
| [4] | Limits needed. |
| Answer | Marks | Guidance |
|---|---|---|
| 10 | (c) | (i) |
| Answer | Marks |
|---|---|
| 10p52p2 2p210p50 | M1 |
| Answer | Marks |
|---|---|
| [4] | F |
| Answer | Marks | Guidance |
|---|---|---|
| AG | Allow in terms of k | |
| 10 | (c) | (ii) |
| Answer | Marks |
|---|---|
| 0.8275) | B1 |
| Answer | Marks |
|---|---|
| [3] | BC |
| For attempt to find m | 5±√15 |
Question 10:
10 | (a) | a
kxm dx1
0
kxm1 a
1
m1
0
kam1 m1
1k
m1 am1 | M1
M1
A1
[3] | For integral equated to 1
AG
10 | (b) | xm1
um du
am1
0
m1 um1 x
=
am1 m1
0
xm1
=
am1
0 x0
xm1
F(x) 0 xa
am1
1 xa
| B1
M1
A1
A1
[4] | Limits needed.
Can get first two marks if in terms of k
oe use of constant of integration
oe but not with k
Fully simplified
For fully correct answer with no
incorrect working allow all 4 marks.
10 | (c) | (i) | 1a m1 1a m1
P 1a X 1a 2 4
4 2 am1 am1
1 1
2m1 4m1
1 1 1
2p 4p2 10
10p52p2 2p210p50 | M1
M1
M1
A1
[4] | F
For use of F 1a 1a , oe
2 4
Forming equation in p
AG | Allow in terms of k
10 | (c) | (ii) | p = 0.5635 or p = 4.4365
log0.5635 log4.4365
so m or
log2 log2
giving m = 2.149 (and reject negative value
0.8275) | B1
M1
A1
[3] | BC
For attempt to find m | 5±√15
Or 𝑝 =
2
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10 The probability density function of the continuous random variable $X$ is given by\\
$f ( x ) = \begin{cases} k x ^ { m } & 0 \leqslant x \leqslant a , \\ 0 & \text { otherwise, } \end{cases}$\\
where $a , k$ and $m$ are positive constants.
\begin{enumerate}[label=(\alph*)]
\item Show that $k = \frac { m + 1 } { a ^ { m + 1 } }$.
\item Find the cumulative distribution function of $X$ in terms of $x , a$ and $m$.
\item Given that $\mathrm { P } \left( \frac { 1 } { 4 } a < X < \frac { 1 } { 2 } a \right) = \frac { 1 } { 10 }$,
\begin{enumerate}[label=(\roman*)]
\item show that $2 p ^ { 2 } - 10 p + 5 = 0$, where $p = 2 ^ { m }$,
\item find the value of $m$.
\section*{END OF QUESTION PAPER}
\end{enumerate}\end{enumerate}
\hfill \mbox{\textit{OCR MEI Further Statistics Major 2019 Q10 [14]}}