| Exam Board | Edexcel |
|---|---|
| Module | S3 (Statistics 3) |
| Year | 2017 |
| Session | June |
| Marks | 9 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Linear combinations of normal random variables |
| Type | Two-sample t-test (unknown variances) |
| Difficulty | Standard +0.3 This is a standard two-sample t-test with clearly stated hypotheses, given summary statistics, and straightforward calculation. Part (b) requires basic understanding of CLT justification. While it involves multiple steps, it's a textbook application of a core S3 technique with no novel insight required, making it slightly easier than average. |
| Spec | 5.05c Hypothesis test: normal distribution for population mean |
| \cline { 2 - 4 } \multicolumn{1}{c|}{} | \(n\) | Sample mean | \(s ^ { 2 }\) |
| New battery | 50 | \(\bar { x } = 83\) | 7 |
| Old battery | 40 | \(\bar { y } = 74\) | 6 |
| Answer | Marks | Guidance |
|---|---|---|
| \(H_0: \mu_{\text{new}} - \mu_{\text{old}} = 8\) | B1 | Accept equivalent rearranged equation; definitions of parameters must be clear e.g. use of 1 and 2 without definitions scores B0; accept '\(x\)' for 'new' and '\(y\)' for 'old' as defined in the question |
| \(H_1: \mu_{\text{new}} - \mu_{\text{old}} > 8\) | B1 | Accept equivalent rearranged strict inequality; definitions of parameters must be clear |
| \(z = \frac{\pm(83 - 74 - 8)}{\sqrt{\frac{7}{50} + \frac{6}{40}}}\) | M1 | M1 for attempting standard error; condone swapping 7 and 6; accept 6.86 and 5.85 for 7 and 6 |
| \(z = \frac{\pm 1}{0.5385\ldots} = 1.86\) | dM1A1 | dM1 for \(1/\text{"their standard error"}\); A1 for awrt 1.86; NB \(-1.86\) is A0; if 8 missing from \(H_1\) then accept \(z = \frac{9}{0.5385\ldots} =\) awrt 16.7 and must be consistent with their \(H_1\) |
| cv \(z = 1.6449\) | B1 | Accept \(\pm\) or probability of 0.9686 |
| \((1.86 > 1.6449)\) so reject \(H_0\) | (Or \(0.95 < 0.9686\)) | |
| Evidence to support engineer's claim (that the new battery will last more than 8 hours longer than the old battery) | A1cso | Correct comment in context; must mention "engineers claim" or "battery", "old", "new" and "8" |
| Answer | Marks | Guidance |
|---|---|---|
| Sample sizes are large | B1 | |
| CLT guarantees sample means (\(\bar{X}\) and \(\bar{Y}\)) are approximately normally distributed | B1 | Must mention means and normal; no assumptions are being made so B0 if key to answer |
## Question 6:
### Part (a):
$H_0: \mu_{\text{new}} - \mu_{\text{old}} = 8$ | B1 | Accept equivalent rearranged equation; definitions of parameters must be clear e.g. use of 1 and 2 without definitions scores B0; accept '$x$' for 'new' and '$y$' for 'old' as defined in the question
$H_1: \mu_{\text{new}} - \mu_{\text{old}} > 8$ | B1 | Accept equivalent rearranged strict inequality; definitions of parameters must be clear
$z = \frac{\pm(83 - 74 - 8)}{\sqrt{\frac{7}{50} + \frac{6}{40}}}$ | M1 | M1 for attempting standard error; condone swapping 7 and 6; accept 6.86 and 5.85 for 7 and 6
$z = \frac{\pm 1}{0.5385\ldots} = 1.86$ | dM1A1 | dM1 for $1/\text{"their standard error"}$; A1 for awrt 1.86; NB $-1.86$ is A0; if 8 missing from $H_1$ then accept $z = \frac{9}{0.5385\ldots} =$ awrt 16.7 and must be consistent with their $H_1$
cv $z = 1.6449$ | B1 | Accept $\pm$ or probability of 0.9686
$(1.86 > 1.6449)$ so reject $H_0$ | | (Or $0.95 < 0.9686$)
Evidence to support engineer's claim (that the new battery will last more than 8 hours longer than the old battery) | A1cso | Correct comment in context; must mention "engineers claim" or "battery", "old", "new" and "8"
### Part (b):
Sample sizes are large | B1 |
CLT guarantees sample means ($\bar{X}$ and $\bar{Y}$) are approximately normally distributed | B1 | Must mention **means** and **normal**; no assumptions are being made so B0 if key to answer
6. An engineer has developed a new battery. She claims that the new battery will last more than 8 hours longer, on average, than the old battery. To test the claim, the engineer randomly selects a sample of 50 new batteries and 40 old batteries. She records how long each battery lasts, $x$ hours for the new batteries and $y$ hours for the old batteries. The results are summarised in the table below.
\begin{center}
\begin{tabular}{ | c | c | c | c | }
\cline { 2 - 4 }
\multicolumn{1}{c|}{} & $n$ & Sample mean & $s ^ { 2 }$ \\
\hline
New battery & 50 & $\bar { x } = 83$ & 7 \\
\hline
Old battery & 40 & $\bar { y } = 74$ & 6 \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\alph*)]
\item Test, at the $5 \%$ level of significance, whether or not there is evidence to support the engineer's claim. State your hypotheses and show your working clearly.
\item Explain the relevance of the Central Limit Theorem to the test in part (a).
\end{enumerate}
\hfill \mbox{\textit{Edexcel S3 2017 Q6 [9]}}