OCR MEI S3 2009 January — Question 1 18 marks

Exam BoardOCR MEI
ModuleS3 (Statistics 3)
Year2009
SessionJanuary
Marks18
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicWilcoxon tests
TypeWilcoxon signed-rank test (single sample)
DifficultyStandard +0.3 Part (a) involves standard integration techniques for pdf normalization and expectation/variance calculations—routine Further Maths Statistics work. Part (b) is a straightforward application of the Wilcoxon signed-rank test with clear hypotheses and standard procedure. The question requires multiple steps but uses well-practiced techniques without requiring novel insight or complex problem-solving.
Spec5.03a Continuous random variables: pdf and cdf5.03c Calculate mean/variance: by integration5.07b Sign test: and Wilcoxon signed-rank

1
  1. A continuous random variable \(X\) has probability density function $$\mathrm { f } ( x ) = \lambda x ^ { c } , \quad 0 \leqslant x \leqslant 1 ,$$ where \(c\) is a constant and the parameter \(\lambda\) is greater than 1 .
    1. Find \(c\) in terms of \(\lambda\).
    2. Find \(\mathrm { E } ( X )\) in terms of \(\lambda\).
    3. Show that \(\operatorname { Var } ( X ) = \frac { \lambda } { ( \lambda + 2 ) ( \lambda + 1 ) ^ { 2 } }\).
  2. Every day, Godfrey does a puzzle from the newspaper and records the time taken in minutes. Last year, his median time was 32 minutes. His times for a random sample of 12 puzzles this year are as follows. $$\begin{array} { l l l l l l l l l l l l } 40 & 20 & 18 & 11 & 47 & 36 & 38 & 35 & 22 & 14 & 12 & 21 \end{array}$$ Use an appropriate test, with a 5\% significance level, to examine whether Godfrey's times this year have decreased on the whole.

1
\begin{enumerate}[label=(\alph*)]
\item A continuous random variable $X$ has probability density function

$$\mathrm { f } ( x ) = \lambda x ^ { c } , \quad 0 \leqslant x \leqslant 1 ,$$

where $c$ is a constant and the parameter $\lambda$ is greater than 1 .
\begin{enumerate}[label=(\roman*)]
\item Find $c$ in terms of $\lambda$.
\item Find $\mathrm { E } ( X )$ in terms of $\lambda$.
\item Show that $\operatorname { Var } ( X ) = \frac { \lambda } { ( \lambda + 2 ) ( \lambda + 1 ) ^ { 2 } }$.
\end{enumerate}\item Every day, Godfrey does a puzzle from the newspaper and records the time taken in minutes. Last year, his median time was 32 minutes. His times for a random sample of 12 puzzles this year are as follows.

$$\begin{array} { l l l l l l l l l l l l } 
40 & 20 & 18 & 11 & 47 & 36 & 38 & 35 & 22 & 14 & 12 & 21
\end{array}$$

Use an appropriate test, with a 5\% significance level, to examine whether Godfrey's times this year have decreased on the whole.
\end{enumerate}

\hfill \mbox{\textit{OCR MEI S3 2009 Q1 [18]}}