2019 EJC BT2 P2 Q8 [Modified]

2019 EJC BT2 P2 Q8 [Modified]

8 marks

A private-hire vehicle firm, Euber, employs drivers to operate a fleet of cars. The mileage covered by an Euber driver on a weekday is denoted by \(M\) km. A random sample of \(60\) Euber drivers is taken and their mileage can be summarised by

\[\sum(m-250) = 540 \text{ and}\hspace{0.5em} \sum(m-259)^2 = 8176.\]

  1. Calculate unbiased estimates of the population mean and variance.[2]

Assume that the population mean and variance follow the answers calculated in part (i).

Random samples of \(n\) Euber drivers are taken, where \(n\) is large.

  1. Over a long period of time, it is found that \(25\%\) of the samples have a mean mileage of at least \(260\) km. Find the value of \(n\).[3]
  2. Explain whether it is necessary to assume that \(M\) follows a normal distribution in order for your calculations in part (ii) to hold.[1]
  3. It is now given that \(M\) is normally distributed with population variance \(5^2\). Estimate the sample size needed so that Euber can be \(95\%\) certain that the sample mean mileage will differ from the true mean by less than \(500\)m.[2]

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Answer:(i) \(\overline m=259\), \(s^2=139\) (ii) \(n=63\) (iii) No, the Central Limit Theorem applies for large \(n\) (iv) \(385\)

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