Standard +0.3 This is a straightforward two-tail hypothesis test with all standard steps clearly signposted. Students must calculate sample mean and standard deviation from summaries, then perform a z-test - all routine S2 procedures. The 10% significance level and large sample size make it slightly easier than average, though it requires careful arithmetic and proper hypothesis test structure.
7 A machine is designed to make paper with mean thickness 56.80 micrometres. The thicknesses, \(x\) micrometres, of a random sample of 300 sheets are summarised by
$$n = 300 , \quad \Sigma x = 17085.0 , \quad \Sigma x ^ { 2 } = 973847.0 .$$
Test, at the \(10 \%\) significance level, whether the machine is producing paper of the designed thickness.
7 A machine is designed to make paper with mean thickness 56.80 micrometres. The thicknesses, $x$ micrometres, of a random sample of 300 sheets are summarised by
$$n = 300 , \quad \Sigma x = 17085.0 , \quad \Sigma x ^ { 2 } = 973847.0 .$$
Test, at the $10 \%$ significance level, whether the machine is producing paper of the designed thickness.
\hfill \mbox{\textit{OCR S2 2010 Q7 [11]}}