Standard +0.3 This is a standard two-sample t-test with summary statistics provided. Students must calculate sample means and variances from the summations, apply the pooled variance formula, and conduct a hypothesis test—all routine A-level Further Statistics procedures requiring no novel insight, though slightly above average difficulty due to the computational steps involved.
9 Experiments are conducted to test the breaking strength of each of two types of rope, \(P\) and \(Q\). A random sample of 50 ropes of type \(P\) and a random sample of 70 ropes of type \(Q\) are selected. The breaking strengths, \(p\) and \(q\), measured in appropriate units, are summarised as follows.
$$\Sigma p = 321.2 \quad \Sigma p ^ { 2 } = 2120.0 \quad \Sigma q = 475.3 \quad \Sigma q ^ { 2 } = 3310.0$$
Test, at the \(10 \%\) significance level, whether the mean breaking strengths of type \(P\) and type \(Q\) ropes are the same.
9 Experiments are conducted to test the breaking strength of each of two types of rope, $P$ and $Q$. A random sample of 50 ropes of type $P$ and a random sample of 70 ropes of type $Q$ are selected. The breaking strengths, $p$ and $q$, measured in appropriate units, are summarised as follows.
$$\Sigma p = 321.2 \quad \Sigma p ^ { 2 } = 2120.0 \quad \Sigma q = 475.3 \quad \Sigma q ^ { 2 } = 3310.0$$
Test, at the $10 \%$ significance level, whether the mean breaking strengths of type $P$ and type $Q$ ropes are the same.
\hfill \mbox{\textit{CAIE FP2 2012 Q9 [10]}}