Standard +0.3 This is a straightforward S3 question requiring standard CLT explanation, routine confidence interval calculation (σ known, large n=100), and basic interpretation. The CLT application is explicit and the calculations are mechanical with no conceptual challenges beyond typical A-level statistics.
3. (a) Explain what you understand by the Central Limit Theorem.
A garage services hire cars on behalf of a hire company. The garage knows that the lifetime of the brake pads has a standard deviation of 5000 miles. The garage records the lifetimes, \(x\) miles, of the brake pads it has replaced. The garage takes a random sample of 100 brake pads and finds that \(\sum x = 1740000\)
(b) Find a 95\% confidence interval for the mean lifetime of a brake pad.
(c) Explain the relevance of the Central Limit Theorem in part (b).
Brake pads are made to be changed every 20000 miles on average.
The hire car company complain that the garage is changing the brake pads too soon.
(d) Comment on the hire company's complaint. Give a reason for your answer.
3. (a) Explain what you understand by the Central Limit Theorem.
A garage services hire cars on behalf of a hire company. The garage knows that the lifetime of the brake pads has a standard deviation of 5000 miles. The garage records the lifetimes, $x$ miles, of the brake pads it has replaced. The garage takes a random sample of 100 brake pads and finds that $\sum x = 1740000$\\
(b) Find a 95\% confidence interval for the mean lifetime of a brake pad.\\
(c) Explain the relevance of the Central Limit Theorem in part (b).
Brake pads are made to be changed every 20000 miles on average.\\
The hire car company complain that the garage is changing the brake pads too soon.\\
(d) Comment on the hire company's complaint. Give a reason for your answer.\\
\hfill \mbox{\textit{Edexcel S3 2012 Q3 [11]}}