OCR Further Statistics 2020 November — Question 8 15 marks

Exam BoardOCR
ModuleFurther Statistics (Further Statistics)
Year2020
SessionNovember
Marks15
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Probability Distributions and Random Variables
DifficultyStandard +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.
Spec5.03a Continuous random variables: pdf and cdf5.03c Calculate mean/variance: by integration5.03e Find cdf: by integration

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.
  1. Find \(k\) in terms of \(n\). [3]
    1. When \(n = 4\), find the cumulative distribution function of \(X\). [3]
    2. Hence determine P\((X > 7 | X > 5)\) when \(n = 4\). [4]
  2. Determine the values of \(n\) for which Var\((X)\) is not defined. [5]

Question 8:
AnswerMarks Guidance
8(a)
∞  k 
∫ kx −ndx= 
1 (1−n)xn−1 
1
k
= = 1 so k = n – 1
AnswerMarks
n−1M1
B1
A1
AnswerMarks
[3]1.1
1.1
AnswerMarks
1.1Integral attempted, correct limits
Correct indefinite integral
AnswerMarks
Correctly obtain k = n – 1, wwwDon’t need full details of
lim(a → ∞)
AnswerMarks Guidance
(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
AnswerMarks
 x3M1
A1
B1
AnswerMarks
[3]1.1
1.1
AnswerMarks
1.1Needs + 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)
AnswerMarks
Allow ≤ for <, and/or > for ≥Wrong k: can get M1A0B1
Ignore ranges here
Or “0 otherwise” if “x ≥ 1”
stated in active part
AnswerMarks
(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…)
AnswerMarks
343M1*
A1
*depM1
A1ft
AnswerMarks
[4]3.1a
3.1a
3.3
AnswerMarks
1.1Use 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
AnswerMarks
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
AnswerMarks
(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
AnswerMarks
n = 2 or 3.M1*
B1
*depM1
B1
A1
AnswerMarks
[5]2.1
1.1
2.2a
2.3
AnswerMarks
2.2aCorrect 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
AnswerMarks
only for thosen−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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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
OCR (Oxford Cambridge and RSA Examinations)
The Triangle Building
Shaftesbury Road
Cambridge
CB2 8EA
OCR Customer Contact Centre
Education and Learning
Telephone: 01223 553998
Facsimile: 01223 552627
Email: general.qualifications@ocr.org.uk
www.ocr.org.uk
For staff training purposes and as part of our quality assurance programme your call may be
recorded or monitored
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]}}