| Exam Board | OCR MEI |
|---|---|
| Module | Further Statistics Minor (Further Statistics Minor) |
| Year | 2020 |
| Session | November |
| Marks | 10 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Geometric Distribution |
| Type | Name geometric distribution and parameter |
| Difficulty | Moderate -0.8 This is a straightforward application of the geometric distribution with standard bookwork for parts (a)-(c): identifying the distribution, calculating a single probability, and recalling formulas for mean and variance. Part (d) requires solving a quadratic equation from P(Y=2) but involves only basic algebraic manipulation. All steps are routine for Further Statistics students with no novel problem-solving required. |
| Spec | 5.02f Geometric distribution: conditions5.02g Geometric probabilities: P(X=r) = p(1-p)^(r-1)5.02h Geometric: mean 1/p and variance (1-p)/p^2 |
| Answer | Marks | Guidance |
|---|---|---|
| 4 | (a) | Distribution is Geo(metric) |
| Answer | Marks | Guidance |
|---|---|---|
| �13� | B1 | |
| [1] | 1.2 | B0 if any additional |
| Answer | Marks | Guidance |
|---|---|---|
| 4 | (b) | P(X = 10) = |
| Answer | Marks |
|---|---|
| = 0.037(428…) | M1 |
| Answer | Marks |
|---|---|
| [2] | 3.3 |
| Answer | Marks | Guidance |
|---|---|---|
| 4 | (c) | E(X) = 13 |
| Var(X) = 156 | B1 |
| Answer | Marks |
|---|---|
| [2] | 1.2 |
| Answer | Marks | Guidance |
|---|---|---|
| 4 | (d) | DR |
| Answer | Marks |
|---|---|
| ⇒k = 2 okr = 380 | B1 |
| Answer | Marks |
|---|---|
| [5] | 3.1a |
| Answer | Marks |
|---|---|
| 1.1 | At any point |
| Answer | Marks |
|---|---|
| Both values needed | 2 |
Question 4:
4 | (a) | Distribution is Geo(metric)
1
�13� | B1
[1] | 1.2 | B0 if any additional
parameters given
4 | (b) | P(X = 10) =
9
12 1
�13� ×13
= 0.037(428…) | M1
A1
[2] | 3.3
1.1
4 | (c) | E(X) = 13
Var(X) = 156 | B1
B1
[2] | 1.2
1.1
4 | (d) | DR
p(Ace) = soi
𝑘𝑘+4
𝑘𝑘+52
(1 – p)p =
8
81p2 – 8811p + 8 = 0
⇒
p = or p =
1 8
9 9
or used to reach k =
𝑘𝑘+4 1 𝑘𝑘+4 8
𝑘𝑘 +52=9 𝑘𝑘+52 =9
⇒k = 2 okr = 380 | B1
M1
A1
M1
A1
[5] | 3.1a
1.1a
1.1
3.1a
1.1 | At any point
𝑘𝑘+4 𝑘𝑘+4 8
� 1−𝑘𝑘+52��𝑘𝑘+52�= 81
2
8 𝑘𝑘 − 3056𝑘𝑘 + 6080 = 0
Method to solve quadratic from
above approach
Both values needed | 2
𝑘𝑘 −382𝑘𝑘+760=0
4 Cards are drawn at random from a standard pack of 52 cards, one at a time, until one of the 4 aces is drawn. After each card is drawn, it is replaced in the pack before the next one is drawn. The random variable $X$ represents the number of draws required to draw the first ace.
\begin{enumerate}[label=(\alph*)]
\item State fully the distribution of $X$.
\item Find $\mathrm { P } ( X = 10 )$.
\item Find each of the following.
\begin{itemize}
\item $\mathrm { E } ( X )$
\item $\operatorname { Var } ( X )$
\end{itemize}
A further $k$ aces are added to the full pack and the process described above is repeated. The random variable $Y$ represents the number of draws required to draw the first ace.
\item In this question you must show detailed reasoning.
Given that $\mathrm { P } ( Y = 2 ) = \frac { 8 } { 81 }$, find the two possible values of $k$.
\end{enumerate}
\hfill \mbox{\textit{OCR MEI Further Statistics Minor 2020 Q4 [10]}}