OCR S2 2011 January — Question 7 10 marks

Exam BoardOCR
ModuleS2 (Statistics 2)
Year2011
SessionJanuary
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Uniform Random Variables
TypeFind constant k in PDF
DifficultyModerate -0.8 This is a straightforward S2 question testing basic PDF properties. Parts (ii) and (iii) involve routine integration (∫a/x² dx and finding E(X)), part (i) is a simple sketch, and part (iv) tests understanding of uniform distributions. All techniques are standard with no problem-solving insight required, making it easier than average.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration

7 Two continuous random variables \(S\) and \(T\) have probability density functions \(\mathrm { f } _ { S }\) and \(\mathrm { f } _ { T }\) given respectively by $$\begin{aligned} & f _ { S } ( x ) = \begin{cases} \frac { a } { x ^ { 2 } } & 1 \leqslant x \leqslant 3 \\ 0 & \text { otherwise } \end{cases} \\ & f _ { T } ( x ) = \begin{cases} b & 1 \leqslant x \leqslant 3 \\ 0 & \text { otherwise } \end{cases} \end{aligned}$$ where \(a\) and \(b\) are constants.
  1. Sketch on the same axes the graphs of \(y = \mathrm { f } _ { S } ( x )\) and \(y = \mathrm { f } _ { T } ( x )\).
  2. Find the value of \(a\).
  3. Find \(\mathrm { E } ( S )\).
  4. A student gave the following description of the distribution of \(T\) : "The probability that \(T\) occurs is constant". Give an improved description, in everyday terms.

AnswerMarks Guidance
(i)B1 Horizontal line above axis
B1Concave decreasing curve above axis
B1Both correct including approx relationship, not extending beyond [1, 3], verticals and scale not needed
3
(ii) \(\int_a^1 f_2(x) dx = 1\), \(\left[-\frac{a}{x}\right]_a^1 = 1; a = \frac{3}{2}\)M1 Attempt \(\int f_2(x)dx\), limits [1, 3] at some stage, equate to 1
B1Correct indefinite integral
A1Correctly obtain 3/2 or 1.5 or exact equivalent
3
(iii) \(\int_1^3 x f_3(x) dx = \left[a \ln x\right]\)M1 Attempt \(\int xf_3(x)dx\), limits [1, 3] at some stage
B1 FTCorrect indefinite integral, FT on a
A1 FT 3Answer, exactly equivalent or a.r.t. 1.65, FT on a or \(\ln 3\)
3
**(i)** | B1 | Horizontal line above axis
| B1 | Concave decreasing curve above axis
| B1 | Both correct including approx relationship, not extending beyond [1, 3], verticals and scale not needed
| | 3

**(ii)** $\int_a^1 f_2(x) dx = 1$, $\left[-\frac{a}{x}\right]_a^1 = 1; a = \frac{3}{2}$ | M1 | Attempt $\int f_2(x)dx$, limits [1, 3] at some stage, equate to 1
| B1 | Correct indefinite integral
| A1 | Correctly obtain 3/2 or 1.5 or exact equivalent
| | 3

**(iii)** $\int_1^3 x f_3(x) dx = \left[a \ln x\right]$ | M1 | Attempt $\int xf_3(x)dx$, limits [1, 3] at some stage
| B1 FT | Correct indefinite integral, FT on a
| A1 FT 3 | Answer, exactly equivalent or a.r.t. 1.65, FT on a or $\ln 3$
| | 3
7 Two continuous random variables $S$ and $T$ have probability density functions $\mathrm { f } _ { S }$ and $\mathrm { f } _ { T }$ given respectively by

$$\begin{aligned}
& f _ { S } ( x ) = \begin{cases} \frac { a } { x ^ { 2 } } & 1 \leqslant x \leqslant 3 \\
0 & \text { otherwise } \end{cases} \\
& f _ { T } ( x ) = \begin{cases} b & 1 \leqslant x \leqslant 3 \\
0 & \text { otherwise } \end{cases}
\end{aligned}$$

where $a$ and $b$ are constants.\\
(i) Sketch on the same axes the graphs of $y = \mathrm { f } _ { S } ( x )$ and $y = \mathrm { f } _ { T } ( x )$.\\
(ii) Find the value of $a$.\\
(iii) Find $\mathrm { E } ( S )$.\\
(iv) A student gave the following description of the distribution of $T$ : "The probability that $T$ occurs is constant". Give an improved description, in everyday terms.

\hfill \mbox{\textit{OCR S2 2011 Q7 [10]}}