| Exam Board | AQA |
|---|---|
| Module | S1 (Statistics 1) |
| Year | 2014 |
| Session | June |
| Marks | 11 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Measures of Location and Spread |
| Type | Calculate statistics from grouped frequency table |
| Difficulty | Moderate -0.3 This is a standard S1 grouped frequency question requiring routine calculations of mean, standard deviation, and a confidence interval using given formulas. While it involves multiple steps and careful arithmetic with 13 groups, the techniques are entirely procedural with no conceptual challenges or problem-solving required—slightly easier than average due to its purely mechanical nature. |
| Spec | 2.02f Measures of average and spread2.02g Calculate mean and standard deviation5.05c Hypothesis test: normal distribution for population mean5.05d Confidence intervals: using normal distribution |
| Weight ( \(\boldsymbol { x }\) kg) | Number of women |
| 35-40 | 4 |
| 40-45 | 9 |
| 45-50 | 12 |
| 50-55 | 16 |
| 55-60 | 24 |
| 60-65 | 28 |
| 65-70 | 24 |
| 70-75 | 17 |
| 75-80 | 12 |
| 80-85 | 7 |
| 85-90 | 4 |
| 90-95 | 2 |
| 95-100 | 1 |
| Total | 160 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Midpoints used: 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5 | B1 | At least one midpoint correct |
| \(\sum fx = 4(37.5) + 9(42.5) + 12(47.5) + 16(52.5) + 24(57.5) + 28(62.5) + 24(67.5) + 17(72.5) + 12(77.5) + 7(82.5) + 4(87.5) + 2(92.5) + 1(97.5) = 10056\) | M1 | Attempt at \(\sum fx\) |
| \(\bar{x} = \frac{10056}{160} = 62.85\) | A1 | Correct mean |
| \(s = \sqrt{\frac{\sum fx^2}{160} - \bar{x}^2} = \sqrt{\frac{659827.5}{160} - 62.85^2} = \sqrt{4123.92 - 3950.12} \approx 13.18\) | A1 | Correct standard deviation (accept values in range 13.1–13.2) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| \(z = 2.3263\) for 98% CI | B1 | Correct \(z\) value |
| \(SE = \frac{s}{\sqrt{n}} = \frac{13.18}{\sqrt{160}}\) | M1 | Correct standard error structure |
| \(= 1.0424...\) | A1 | Correct SE value |
| \(CI: \bar{x} \pm z \times SE = 62.85 \pm 2.3263 \times 1.0424\) | M1 | Correct CI structure |
| \((60.43, 65.27)\) | A1 | Correct interval (follow through on values) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| 61.7 lies within the confidence interval \((60.43, 65.27)\) | M1 | Comparison of 61.7 with CI |
| There is insufficient evidence to suggest the mean weight has increased from 61.7 kg; the claim is not supported at the 2% significance level | A1 | Correct conclusion in context |
# Question 7:
## Part (a): Mean and Standard Deviation [4 marks]
| Answer/Working | Mark | Guidance |
|---|---|---|
| Midpoints used: 37.5, 42.5, 47.5, 52.5, 57.5, 62.5, 67.5, 72.5, 77.5, 82.5, 87.5, 92.5, 97.5 | B1 | At least one midpoint correct |
| $\sum fx = 4(37.5) + 9(42.5) + 12(47.5) + 16(52.5) + 24(57.5) + 28(62.5) + 24(67.5) + 17(72.5) + 12(77.5) + 7(82.5) + 4(87.5) + 2(92.5) + 1(97.5) = 10056$ | M1 | Attempt at $\sum fx$ |
| $\bar{x} = \frac{10056}{160} = 62.85$ | A1 | Correct mean |
| $s = \sqrt{\frac{\sum fx^2}{160} - \bar{x}^2} = \sqrt{\frac{659827.5}{160} - 62.85^2} = \sqrt{4123.92 - 3950.12} \approx 13.18$ | A1 | Correct standard deviation (accept values in range 13.1–13.2) |
## Part (b)(i): 98% Confidence Interval [5 marks]
| Answer/Working | Mark | Guidance |
|---|---|---|
| $z = 2.3263$ for 98% CI | B1 | Correct $z$ value |
| $SE = \frac{s}{\sqrt{n}} = \frac{13.18}{\sqrt{160}}$ | M1 | Correct standard error structure |
| $= 1.0424...$ | A1 | Correct SE value |
| $CI: \bar{x} \pm z \times SE = 62.85 \pm 2.3263 \times 1.0424$ | M1 | Correct CI structure |
| $(60.43, 65.27)$ | A1 | Correct interval (follow through on values) |
## Part (b)(ii): Comment on Claim [2 marks]
| Answer/Working | Mark | Guidance |
|---|---|---|
| 61.7 lies within the confidence interval $(60.43, 65.27)$ | M1 | Comparison of 61.7 with CI |
| There is insufficient evidence to suggest the mean weight has increased from 61.7 kg; the claim is not supported at the 2% significance level | A1 | Correct conclusion in context |
These pages (27 and 28) are **answer space/blank pages** from an AQA exam paper (P/Jun14/SS1B). They contain:
- Page 27: Blank lined answer space for Question 7
- Page 28: A blank "do not write on this page" page
**There is no mark scheme content on these pages.** These are student answer booklet pages, not mark scheme pages. To extract mark scheme content, you would need to provide the actual mark scheme document for this paper.
7 For the year 2014, the table below summarises the weights, $x$ kilograms, of a random sample of 160 women residing in a particular city who are aged between 18 years and 25 years.
\begin{center}
\begin{tabular}{|l|l|}
\hline
Weight ( $\boldsymbol { x }$ kg) & Number of women \\
\hline
35-40 & 4 \\
\hline
40-45 & 9 \\
\hline
45-50 & 12 \\
\hline
50-55 & 16 \\
\hline
55-60 & 24 \\
\hline
60-65 & 28 \\
\hline
65-70 & 24 \\
\hline
70-75 & 17 \\
\hline
75-80 & 12 \\
\hline
80-85 & 7 \\
\hline
85-90 & 4 \\
\hline
90-95 & 2 \\
\hline
95-100 & 1 \\
\hline
Total & 160 \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\alph*)]
\item Calculate estimates of the mean and the standard deviation of these 160 weights.
\item \begin{enumerate}[label=(\roman*)]
\item Construct a 98\% confidence interval for the mean weight of women residing in the city who are aged between 18 years and 25 years.
\item Hence comment on a claim that the mean weight of women residing in the city who are aged between 18 years and 25 years has increased from that of 61.7 kg in 1965.\\[0pt]
[2 marks]\\
\begin{center}
\includegraphics[max width=\textwidth, alt={}]{ddf7f158-b6ae-42c6-98f1-d59c205646ad-28_2488_1728_219_141}
\end{center}
\end{enumerate}\end{enumerate}
\hfill \mbox{\textit{AQA S1 2014 Q7 [11]}}