| Exam Board | OCR MEI |
|---|---|
| Module | S1 (Statistics 1) |
| Year | 2016 |
| Session | June |
| Marks | 18 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Data representation |
| Type | Calculate frequency density from frequency |
| Difficulty | Moderate -0.8 This is a routine statistics question testing standard techniques: calculating mean/SD from grouped data, drawing histograms with frequency density, and basic data interpretation. All parts follow textbook procedures with no problem-solving or novel insight required, making it easier than average. |
| Spec | 2.02b Histogram: area represents frequency2.02f Measures of average and spread2.02g Calculate mean and standard deviation2.02i Select/critique data presentation |
| Price \(( \pounds x )\) | \(10 \leqslant x \leqslant 40\) | \(40 < x \leqslant 50\) | \(50 < x \leqslant 60\) | \(60 < x \leqslant 80\) | \(80 < x \leqslant 200\) |
| Frequency | 147 | 109 | 182 | 317 | 175 |
| Answer | Marks | Guidance |
|---|---|---|
| \(\frac{(25\times147)+(45\times109)+(55\times182)+(70\times317)+(140\times175)}{930}\) | M1 | For midpoints (at least 3 correct); allow 25.005, 45.005 etc leading to answer 70.20 |
| \(\frac{151250}{80} = £70.19\) or \(£70.2\) | A1 | CAO (exact answer 70.19355...); correct answers from calculator statistical functions gain full marks |
| Answer | Marks | Guidance |
|---|---|---|
| \(\Sigma x^2f = (25^2\times147)+(45^2\times109)+(55^2\times182)+(70^2\times317)+(140^2\times175)\) \(= 5846450\) | M1 | For attempt at \(S_{xx}\); should include sum of at least 3 correct multiples \(fx^2 - \Sigma x^2/n\); do not FT incorrect mean |
| \(S_{xx} = 5846450 - \frac{65280^2}{930} = 1264215.161\) | A1 | exact answer 36.88949...; condone answer of £36.90 |
| \(s = \sqrt{\frac{1264215}{929}} = \sqrt{1360.83} = 36.89\) or \(£36.9\) | [4] | Allow any answer between 36.87 and 36.90 without checking working |
| Answer | Marks | Guidance |
|---|---|---|
| \(\frac{100}{120}\times175 = 145.83\) | M1* | For 175/120; or \(\frac{20}{120}\times175 = 29.166\) |
| \(145.83/930 = 0.1568\) | *M1dep | |
| So 15.7% | A1 [3] | Accept 16% with working |
| Answer | Marks | Guidance |
|---|---|---|
| Price | Frequency | Group width |
| \(10\leq x\leq40\) | 147 | 30 |
\(40| 109 |
10 |
|
\(50| 182 |
10 |
|
\(60| 317 |
20 |
|
\(80| 175 |
120 |
|
| Frequency densities correct | M1 | For fds - at least 3 correct; accept any suitable unit for fd |
| Allow 15.9 and 1.5; condone 1.45 | A1 | |
| Linear scales on both axes and label on both axes (allow horizontal axis labelled \(x\)); vertical scale starting from zero | B1 | Linear scale and label on vertical axis IN RELATION to first M1 mark |
| Width of bars (within half a square); NO GAPS ALLOWED | B1 | |
| Height of bars | B1 [5] | FT of heights dep on at least 3 heights correct; all must agree with their fds |
| Answer | Marks | Guidance |
|---|---|---|
| Positive skewness | B1 [1] | Allow +ve |
| Answer | Marks | Guidance |
|---|---|---|
| Area for men from 100 to 200 \(= 100\times2 = 200\) | M1 | Or \(\frac{100}{120}\times240\) |
| \(200/990 = 0.202\), so 20.2% | A1 | 20% with working |
| Cannot be certain as both figures are estimates | E1 [3] | Independent; allow 'grouped data so cannot be certain' or 'values are not exact so cannot be certain' oe |
| Answer | Marks | Guidance |
|---|---|---|
| Men's running shoes have a lower average price than women's (mean is only £68.83 compared to £70.19) or equivalent for women | E1 | FT their mean; do NOT condone lower central tendency or lower mean; allow 'on the whole' or similar in place of 'average' |
| Men's running shoes have more variation in price than women's (sd is £42.93 compared to £36.89) or equivalent for women | E1 [2] | FT their SD; allow 'more spread' or similar but not 'higher range' or 'higher variance' or 'less distributed' |
# Question 6:
## Part (i) - Mean and Standard Deviation
**Mean:**
$\frac{(25\times147)+(45\times109)+(55\times182)+(70\times317)+(140\times175)}{930}$ | M1 | For midpoints (at least 3 correct); allow 25.005, 45.005 etc leading to answer 70.20
$\frac{151250}{80} = £70.19$ or $£70.2$ | A1 | CAO (exact answer 70.19355...); correct answers from calculator statistical functions gain full marks
**Standard Deviation:**
$\Sigma x^2f = (25^2\times147)+(45^2\times109)+(55^2\times182)+(70^2\times317)+(140^2\times175)$ $= 5846450$ | M1 | For attempt at $S_{xx}$; should include sum of at least 3 correct multiples $fx^2 - \Sigma x^2/n$; do not FT incorrect mean
$S_{xx} = 5846450 - \frac{65280^2}{930} = 1264215.161$ | A1 | exact answer 36.88949...; condone answer of £36.90
$s = \sqrt{\frac{1264215}{929}} = \sqrt{1360.83} = 36.89$ or $£36.9$ | [4] | Allow any answer between 36.87 and 36.90 without checking working
---
## Part (ii)
$\frac{100}{120}\times175 = 145.83$ | M1* | For 175/120; or $\frac{20}{120}\times175 = 29.166$
$145.83/930 = 0.1568$ | *M1dep |
So 15.7% | A1 [3] | Accept 16% with working
---
## Part (iii) - Histogram
| Price | Frequency | Group width | Frequency density |
|-------|-----------|-------------|-------------------|
| $10\leq x\leq40$ | 147 | 30 | 4.90 |
| $40<x\leq50$ | 109 | 10 | 10.90 |
| $50<x\leq60$ | 182 | 10 | 18.20 |
| $60<x\leq80$ | 317 | 20 | 15.85 |
| $80<x\leq200$ | 175 | 120 | 1.46 |
Frequency densities correct | M1 | For fds - at least 3 correct; accept any suitable unit for fd
Allow 15.9 and 1.5; condone 1.45 | A1 |
Linear scales on both axes and label on both axes (allow horizontal axis labelled $x$); vertical scale starting from zero | B1 | Linear scale and label on vertical axis IN RELATION to first M1 mark
Width of bars (within half a square); NO GAPS ALLOWED | B1 |
Height of bars | B1 [5] | FT of heights dep on at least 3 heights correct; all must agree with their fds
---
## Part (iv)
Positive skewness | B1 [1] | Allow +ve
---
## Part (v)
Area for men from 100 to 200 $= 100\times2 = 200$ | M1 | Or $\frac{100}{120}\times240$
$200/990 = 0.202$, so 20.2% | A1 | 20% with working
Cannot be certain as both figures are estimates | E1 [3] | Independent; allow 'grouped data so cannot be certain' or 'values are not exact so cannot be certain' oe
---
## Part (vi)
Men's running shoes have a lower average price than women's (mean is only £68.83 compared to £70.19) or equivalent for women | E1 | FT their mean; do NOT condone lower central tendency or lower mean; allow 'on the whole' or similar in place of 'average'
Men's running shoes have more variation in price than women's (sd is £42.93 compared to £36.89) or equivalent for women | E1 [2] | FT their SD; allow 'more spread' or similar but not 'higher range' or 'higher variance' or 'less distributed'
---
6 An online store has a total of 930 different types of women's running shoe on sale. The prices in pounds of the types of women's running shoe are summarised in the table below.
\begin{center}
\begin{tabular}{ | l | c | c | c | c | c | }
\hline
Price $( \pounds x )$ & $10 \leqslant x \leqslant 40$ & $40 < x \leqslant 50$ & $50 < x \leqslant 60$ & $60 < x \leqslant 80$ & $80 < x \leqslant 200$ \\
\hline
Frequency & 147 & 109 & 182 & 317 & 175 \\
\hline
\end{tabular}
\end{center}
(i) Calculate estimates of the mean and standard deviation of the shoe prices.\\
(ii) Calculate an estimate of the percentage of types of shoe that cost at least $\pounds 100$.\\
(iii) Draw a histogram to illustrate the data.
The corresponding histogram below shows the prices in pounds of the 990 types of men's running shoe on sale at the same online store.\\
\includegraphics[max width=\textwidth, alt={}, center]{aff0c5b2-011b-49a0-bf05-6d905f890eba-4_643_1192_340_440}\\
(iv) State the type of skewness shown by the histogram for men's running shoes.\\
(v) Martin is investigating the percentage of types of shoe on sale at the store that cost more than $\pounds 100$. He believes that this percentage is greater for men's shoes than for women's shoes. Estimate the percentage for men's shoes and comment on whether you can be certain which percentage is higher.\\
(vi) You are given that the mean and standard deviation of the prices of men's running shoes are $\pounds 68.83$ and $\pounds 42.93$ respectively. Compare the central tendency and variation of the prices of men's and women's running shoes at the store.
\hfill \mbox{\textit{OCR MEI S1 2016 Q6 [18]}}