OCR MEI S3 2011 January — Question 4

Exam BoardOCR MEI
ModuleS3 (Statistics 3)
Year2011
SessionJanuary
TopicCentral limit theorem
TypeDistribution of sample mean

4 A timber supplier cuts wooden fence posts from felled trees. The posts are of length \(( k + X ) \mathrm { cm }\) where \(k\) is a constant and \(X\) is a random variable which has probability density function $$f ( x ) = \begin{cases} 1 + x & - 1 \leqslant x < 0
1 - x & 0 \leqslant x \leqslant 1
0 & \text { elsewhere } \end{cases}$$
  1. Sketch \(\mathrm { f } ( x )\).
  2. Write down the value of \(\mathrm { E } ( X )\) and find \(\operatorname { Var } ( X )\).
  3. Write down, in terms of \(k\), the approximate distribution of \(\bar { L }\), the mean length of a random sample of 50 fence posts. Justify your choice of distribution.
  4. In a particular sample of 50 posts, the mean length is 90.06 cm . Find a \(95 \%\) confidence interval for the true mean length of the fence posts.
  5. Explain whether it is reasonable to suppose that \(k = 90\).