OCR S2 2007 June — Question 7 10 marks

Exam BoardOCR
ModuleS2 (Statistics 2)
Year2007
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Uniform Random Variables
TypeCompare uniform with other distributions
DifficultyModerate -0.3 This is a straightforward S2 question requiring sketching two simple pdfs (uniform and quadratic), verbal interpretation, and solving a basic probability equation using integration. All techniques are standard with no novel insight needed, making it slightly easier than average.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf

7 Two continuous random variables \(S\) and \(T\) have probability density functions as follows. $$\begin{array} { l l } S : & f ( x ) = \begin{cases} \frac { 1 } { 2 } & - 1 \leqslant x \leqslant 1 \\ 0 & \text { otherwise } \end{cases} \\ T : & g ( x ) = \begin{cases} \frac { 3 } { 2 } x ^ { 2 } & - 1 \leqslant x \leqslant 1 \\ 0 & \text { otherwise } \end{cases} \end{array}$$
  1. Sketch on the same axes the graphs of \(y = \mathrm { f } ( x )\) and \(y = \mathrm { g } ( x )\). [You should not use graph paper or attempt to plot points exactly.]
  2. Explain in everyday terms the difference between the two random variables.
  3. Find the value of \(t\) such that \(\mathrm { P } ( T > t ) = 0.2\).

AnswerMarks Guidance
(i) \(\frac{64.2 - 63}{\sqrt{12.25/23}} = 1.644\)M1 dep Standardise 64.2 with ∀n
A1\(z = 1.644\) or 1.645, must be +
dep M1Find Φ(z), answer < 0.5
A1Answer, a.r.t. 0.05 or 5.0% 4
(ii) (a) \(63 + 1.645 \times \frac{3.5}{\sqrt{50}}\)M1
\(k = 1.645\) (allow 1.64, 1.65)B1
A1Answer, a.r.t. 63.8, allow >, ≥, ≈, c.w.o. 3
(b) \(P(< 63.8 \mid \mu = 65)\)M1 Use of correct meaning of Type II
\(\frac{63.81 - 65}{3.5/\sqrt{50}} = -2.3956\)M1 Standardise their \(c\) with ∀50
\(\frac{3.5}{\sqrt{50}}\)A1
\(z = (±) 2.40\) [or −2.424 or −2.404 etc]A1 Answer, a.r.t. 0.0083 [or 0.00867]
A14
(iii) B better; Type II error smaller (and same Type I error)B2 ∀ This answer: B2. "B because sample bigger": B1. [SR: Partial answer: B1]
(i) $\frac{64.2 - 63}{\sqrt{12.25/23}} = 1.644$ | M1 dep | Standardise 64.2 with ∀n
| A1 | $z = 1.644$ or 1.645, must be +
| dep M1 | Find Φ(z), answer < 0.5
| A1 | Answer, a.r.t. 0.05 or 5.0% | 4

(ii) (a) $63 + 1.645 \times \frac{3.5}{\sqrt{50}}$ | M1 |
$k = 1.645$ (allow 1.64, 1.65) | B1 |
| A1 | Answer, a.r.t. 63.8, allow >, ≥, ≈, c.w.o. | 3

(b) $P(< 63.8 \mid \mu = 65)$ | M1 | Use of correct meaning of Type II
$\frac{63.81 - 65}{3.5/\sqrt{50}} = -2.3956$ | M1 | Standardise their $c$ with ∀50
$\frac{3.5}{\sqrt{50}}$ | A1 |
$z = (±) 2.40$ [or −2.424 or −2.404 etc] | A1 | Answer, a.r.t. 0.0083 [or 0.00867]
| A1 | 4

(iii) B better; Type II error smaller (and same Type I error) | B2 ∀ | This answer: B2. "B because sample bigger": B1. [SR: Partial answer: B1]
7 Two continuous random variables $S$ and $T$ have probability density functions as follows.

$$\begin{array} { l l } 
S : & f ( x ) = \begin{cases} \frac { 1 } { 2 } & - 1 \leqslant x \leqslant 1 \\
0 & \text { otherwise } \end{cases} \\
T : & g ( x ) = \begin{cases} \frac { 3 } { 2 } x ^ { 2 } & - 1 \leqslant x \leqslant 1 \\
0 & \text { otherwise } \end{cases}
\end{array}$$

(i) Sketch on the same axes the graphs of $y = \mathrm { f } ( x )$ and $y = \mathrm { g } ( x )$. [You should not use graph paper or attempt to plot points exactly.]\\
(ii) Explain in everyday terms the difference between the two random variables.\\
(iii) Find the value of $t$ such that $\mathrm { P } ( T > t ) = 0.2$.

\hfill \mbox{\textit{OCR S2 2007 Q7 [10]}}