| Exam Board | OCR |
|---|---|
| Module | Further Statistics (Further Statistics) |
| Year | 2020 |
| Session | November |
| Marks | 15 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Continuous Probability Distributions and Random Variables |
| Difficulty | Standard +0.8 This is a Further Maths statistics question requiring integration of power functions, understanding of pdf/cdf relationships, conditional probability, and variance existence conditions. Part (c) requires recognizing when E(X²) diverges for different values of n, which demands deeper theoretical understanding beyond routine calculation. The multi-step nature and theoretical depth place it moderately above average difficulty. |
| Spec | 5.03a Continuous random variables: pdf and cdf5.03c Calculate mean/variance: by integration5.03e Find cdf: by integration |
| Answer | Marks | Guidance |
|---|---|---|
| 8 | (a) | ∞ |
| Answer | Marks |
|---|---|
| n−1 | M1 |
| Answer | Marks |
|---|---|
| [3] | 1.1 |
| Answer | Marks |
|---|---|
| 1.1 | Integral attempted, correct limits |
| Answer | Marks |
|---|---|
| Correctly obtain k = n – 1, www | Don’t need full details of |
| Answer | Marks | Guidance |
|---|---|---|
| (b) | (i) | 1 |
| Answer | Marks |
|---|---|
| x3 | M1 |
| Answer | Marks |
|---|---|
| [3] | 1.1 |
| Answer | Marks |
|---|---|
| 1.1 | Needs + c or definite integral |
| Answer | Marks |
|---|---|
| Allow ≤ for <, and/or > for ≥ | Wrong k: can get M1A0B1 |
| Answer | Marks |
|---|---|
| (ii) | P[(X >7)∩(X >5)] P(X >7) |
| Answer | Marks |
|---|---|
| 343 | M1* |
| Answer | Marks |
|---|---|
| [4] | 3.1a |
| Answer | Marks |
|---|---|
| 1.1 | Use conditional probability method |
| Answer | Marks |
|---|---|
| on 1 – a/x3, a ≠ 0, 1 | [1−F(7)][1−F(5)] |
| Answer | Marks |
|---|---|
| (c) | ∞ |
| Answer | Marks |
|---|---|
| n = 2 or 3. | M1* |
| Answer | Marks |
|---|---|
| [5] | 2.1 |
| Answer | Marks |
|---|---|
| 2.2a | Correct limits needed somewhere |
| Answer | Marks |
|---|---|
| only for those | n−1 |
Question 8:
8 | (a) | ∞
∞ k
∫ kx −ndx=
1 (1−n)xn−1
1
k
= = 1 so k = n – 1
n−1 | M1
B1
A1
[3] | 1.1
1.1
1.1 | Integral attempted, correct limits
Correct indefinite integral
Correctly obtain k = n – 1, www | Don’t need full details of
lim(a → ∞)
(b) | (i) | 1
∫3x −4dx=− +c
x3
x = 1, F(x) = 0 so c = 1. Hence 1 – x–3.
0 x<1,
F(x)= 1
1− x≥1
x3 | M1
A1
B1
[3] | 1.1
1.1
1.1 | Needs + c or definite integral
between 1 and x, oe
Fully correct active part of CDF
“0 for x < 1” stated and no wrong
ranges (doesn’t need M1 or A1)
Allow ≤ for <, and/or > for ≥ | Wrong k: can get M1A0B1
Ignore ranges here
Or “0 otherwise” if “x ≥ 1”
stated in active part
(ii) | P[(X >7)∩(X >5)] P(X >7)
=
P(X >5) P(X >5)
1−F(7)
=
1−F(5)
= 125 or 0.364(431…)
343 | M1*
A1
*depM1
A1ft
[4] | 3.1a
3.1a
3.3
1.1 | Use conditional probability method
P[(X > 7) ∩ (X > 5)] = P(X > 7)
Convert probabilities into F(X), not
using P(X > 7) × P(X > 5)
Any exact fraction or awrt 0.364, ft
on 1 – a/x3, a ≠ 0, 1 | [1−F(7)][1−F(5)]
:
1−F(5)
M1A0M0A0
Allow from F(x) = 1 – a/x3,
otherwise www
(c) | ∞
kx3−n
∞
E(X2)=∫ kx2−ndx= (n ≠ 3)
1 (3−n)
1
If n = 3, E(X 2) = lim[2ln(x)], not defined
x→∞
Infinite integral does not converge if 3 – n ≥ 0
∞
kx2−n
If n ≥ 4 then E(X)= converges
(2−n)
1
Therefore Var(X) is not defined if and only if
n = 2 or 3. | M1*
B1
*depM1
B1
A1
[5] | 2.1
1.1
2.2a
2.3
2.2a | Correct limits needed somewhere
n−1
Correct indefinite integral or
n−3
No marks just for this unless last 3
marks all zero, then if this (or for
n = 2) is shown, award SC B1
Make deduction based on
convergence, ft
Consider convergence of E(X)
Shown not defined for n = 2 or 3 and
only for those | n−1
SC: E(X2)= , M1B1
n−3
n−1
E(X)= ⇒ n ≠ 2 or 3:
n−2
(not valid, must consider ln
if n = 2 or 3): B0
No limits used: M0B1M0B0
SC: Var(X) < 0 when n < 3:
M1B1M1 (B0) A0
But no need to state “if and
only if”
PMT
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The continuous random variable $X$ has probability density function
$$f(x) = \begin{cases}
\frac{k}{x^n} & x \geqslant 1, \\
0 & \text{otherwise},
\end{cases}$$
where $n$ and $k$ are constants and $n$ is an integer greater than 1.
\begin{enumerate}[label=(\alph*)]
\item Find $k$ in terms of $n$. [3]
\item \begin{enumerate}[label=(\roman*)]
\item When $n = 4$, find the cumulative distribution function of $X$. [3]
\item Hence determine P$(X > 7 | X > 5)$ when $n = 4$. [4]
\end{enumerate}
\item Determine the values of $n$ for which Var$(X)$ is not defined. [5]
\end{enumerate}
\hfill \mbox{\textit{OCR Further Statistics 2020 Q8 [15]}}