Edexcel S1 2014 June — Question 6 11 marks

Exam BoardEdexcel
ModuleS1 (Statistics 1)
Year2014
SessionJune
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicData representation
TypeCalculate using histogram bar dimensions
DifficultyModerate -0.3 This is a standard S1 histogram and summary statistics question requiring routine techniques: frequency density calculations for histogram dimensions, linear interpolation for median, and application of given formulas for mean/standard deviation. All methods are textbook procedures with no novel problem-solving required, making it slightly easier than average.
Spec2.02a Interpret single variable data: tables and diagrams2.02b Histogram: area represents frequency2.02f Measures of average and spread2.02g Calculate mean and standard deviation2.02h Recognize outliers2.02i Select/critique data presentation

6. The times, in seconds, spent in a queue at a supermarket by 85 randomly selected customers, are summarised in the table below.
Time (seconds)Number of customers, \(f\)
0-302
30-6010
60-7017
70-8025
80-10025
100-1506
A histogram was drawn to represent these data. The \(30 - 60\) group was represented by a bar of width 1.5 cm and height 1 cm .
  1. Find the width and the height of the \(70 - 80\) group.
  2. Use linear interpolation to estimate the median of this distribution. Given that \(x\) denotes the midpoint of each group in the table and $$\sum f x = 6460 \quad \sum f x ^ { 2 } = 529400$$
  3. calculate an estimate for
    1. the mean,
    2. the standard deviation,
      for the above data. One measure of skewness is given by $$\text { coefficient of skewness } = \frac { 3 ( \text { mean } - \text { median } ) } { \text { standard deviation } }$$
  4. Evaluate this coefficient and comment on the skewness of these data.

Question 6:
AnswerMarks Guidance
Answer/WorkingMarks Guidance
(a) 70–80 group width 0.5 (cm). \(1.5\text{ cm}^2\) is 10 customers or \(3.75\text{ cm}^2\) is 25 customers or \(0.5c = 3.75\) or \(\frac{2.5}{\frac{1}{3}}\). 70–80 group height 7.5 (cm)B1 M1 A1 (3) B1 for 0.5. M1 for one of the given statements or any method where "their width" \(\times\) "their height" \(= 3.75\). Correct height scores M1A1 independent of width so B0M1A1 is possible
(b) \(\text{Median} = (70) + \frac{13.5}{25}\times10\) allow \((n+1) = (70)+\frac{14}{25}\times10\) \(= \mathbf{75.4}\) (or if using \((n+1)\) allow 75.6)M1 A1 (2) M1 for a correct fraction: \(+\frac{k}{25}\times10\) where \(k=13.5\) or 14 for \((n+1)\) case. NB may work down so look out for \((80)-\frac{11.5}{25}\times10\). Beware: \(69.5+\frac{13.5}{25}\times11=75.44\) (but M0)
(c) \(\left[\text{Mean} = \frac{6460}{85}\right] = \mathbf{76}\) \(\sigma = \sqrt{\frac{529400}{85}-76^2} = 21.2658\ldots\) \((s=21.3920)\) awrt 21.3B1 M1 A1 (3) M1 for correct expression with square root, ft their mean. A1 for awrt 21.3 or, if clearly using \(s\), allow awrt 21.4. Must be evaluated — no surds
(d) \(\text{Coeff of skewness} = \frac{3(76-75.4)}{21.2658\ldots} = 0.08464\ldots\) awrt 0.08 (awrt 0.06 for 75.6). There is (very slight) positive skew or the data is almost symmetrical (or both)M1 A1 B1ft (3) M1 sub. their values into formula, allow use of \(s\) but their \(\sigma\) or \(s\) must be \(>0\). A1 for awrt 0.08 but accept 0.085. No fraction. B1ft for correct comment compatible with their coefficient. Allow "symmetrical" for \(
# Question 6:

| Answer/Working | Marks | Guidance |
|---|---|---|
| **(a)** 70–80 group width **0.5** (cm). $1.5\text{ cm}^2$ is 10 customers or $3.75\text{ cm}^2$ is 25 customers or $0.5c = 3.75$ or $\frac{2.5}{\frac{1}{3}}$. 70–80 group height **7.5** (cm) | B1 M1 A1 **(3)** | B1 for 0.5. M1 for one of the given statements or any method where "their width" $\times$ "their height" $= 3.75$. Correct height scores M1A1 independent of width so B0M1A1 is possible |
| **(b)** $\text{Median} = (70) + \frac{13.5}{25}\times10$ allow $(n+1) = (70)+\frac{14}{25}\times10$ $= \mathbf{75.4}$ (or if using $(n+1)$ allow 75.6) | M1 A1 **(2)** | M1 for a correct fraction: $+\frac{k}{25}\times10$ where $k=13.5$ or 14 for $(n+1)$ case. NB may work down so look out for $(80)-\frac{11.5}{25}\times10$. Beware: $69.5+\frac{13.5}{25}\times11=75.44$ (but M0) |
| **(c)** $\left[\text{Mean} = \frac{6460}{85}\right] = \mathbf{76}$ $\sigma = \sqrt{\frac{529400}{85}-76^2} = 21.2658\ldots$ $(s=21.3920)$ awrt **21.3** | B1 M1 A1 **(3)** | M1 for correct expression with square root, ft their mean. A1 for awrt 21.3 or, if clearly using $s$, allow awrt 21.4. Must be evaluated — no surds |
| **(d)** $\text{Coeff of skewness} = \frac{3(76-75.4)}{21.2658\ldots} = 0.08464\ldots$ awrt **0.08** (awrt 0.06 for 75.6). There is (very slight) positive skew or the data is almost symmetrical (or both) | M1 A1 B1ft **(3)** | M1 sub. their values into formula, allow use of $s$ but their $\sigma$ or $s$ must be $>0$. A1 for awrt 0.08 but accept 0.085. No fraction. B1ft for correct comment compatible with their coefficient. Allow "symmetrical" for $|\text{coeff}|\leq 0.25$. They may say "slightly skew" so omit "positive" but do not allow "negative" if coef is $+$ve. Condone "strongly" positive skew. Any mention of "correlation" is B0 |
6. The times, in seconds, spent in a queue at a supermarket by 85 randomly selected customers, are summarised in the table below.

\begin{center}
\begin{tabular}{|l|l|}
\hline
Time (seconds) & Number of customers, $f$ \\
\hline
0-30 & 2 \\
\hline
30-60 & 10 \\
\hline
60-70 & 17 \\
\hline
70-80 & 25 \\
\hline
80-100 & 25 \\
\hline
100-150 & 6 \\
\hline
\end{tabular}
\end{center}

A histogram was drawn to represent these data. The $30 - 60$ group was represented by a bar of width 1.5 cm and height 1 cm .
\begin{enumerate}[label=(\alph*)]
\item Find the width and the height of the $70 - 80$ group.
\item Use linear interpolation to estimate the median of this distribution.

Given that $x$ denotes the midpoint of each group in the table and

$$\sum f x = 6460 \quad \sum f x ^ { 2 } = 529400$$
\item calculate an estimate for
\begin{enumerate}[label=(\roman*)]
\item the mean,
\item the standard deviation,\\
for the above data.

One measure of skewness is given by

$$\text { coefficient of skewness } = \frac { 3 ( \text { mean } - \text { median } ) } { \text { standard deviation } }$$
\end{enumerate}\item Evaluate this coefficient and comment on the skewness of these data.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S1 2014 Q6 [11]}}