OCR MEI S1 — Question 3 18 marks

Exam BoardOCR MEI
ModuleS1 (Statistics 1)
Marks18
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicData representation
TypeDraw cumulative frequency graph from frequency table (equal class widths)
DifficultyModerate -0.8 This is a straightforward statistics question requiring standard procedures: calculating cumulative frequencies, plotting a graph, reading off median/quartiles, applying the outlier rule (1.5×IQR), and basic probability calculations. All techniques are routine for S1 with no novel problem-solving required, making it easier than average A-level maths.
Spec2.02a Interpret single variable data: tables and diagrams2.02f Measures of average and spread2.02h Recognize outliers2.03a Mutually exclusive and independent events

3 The heating quality of the coal in a sample of 50 sacks is measured in suitable units. The data are summarised below.
Heating quality \(( x )\)\(9.1 \leqslant x \leqslant 9.3\)\(9.3 < x \leqslant 9.5\)\(9.5 < x \leqslant 9.7\)\(9.7 < x \leqslant 9.9\)\(9.9 < x \leqslant 10.1\)
Frequency5715167
  1. Draw a cumulative frequency diagram to illustrate these data.
  2. Use the diagram to estimate the median and interquartile range of the data.
  3. Show that there are no outliers in the sample.
  4. Three of these 50 sacks are selected at random. Find the probability that
    (A) in all three, the heating quality \(x\) is more than 9.5 , \(( B )\) in at least two, the heating quality \(x\) is more than 9.5.

Question 3:
Part (i)
AnswerMarks Guidance
AnswerMarks Guidance
Cumulative frequency table: Upper Bounds 9.1, 9.3, 9.5, 9.7, 9.9, 10.1; CF: 0, 5, 12, 27, 43, 50B1 May be implied from graph. Condone omission of 0
Linear scales on both axesG1 Linear horizontal scale; linear vertical scale 0 to 50. No inequality scales
Correct labels on axesG1 Heating quality or \(x\) and Cumulative frequency or CF. Not just frequency or fd
Points plotted at correct UCB positionsG1 Ignore \((9.1, 0)\) at this stage. No midpoint or LCB plots. Plotted within \(\frac{1}{2}\) small square
Points joined (line or smooth curve) including \((9.1, 0)\)G1 All G's dep on attempt at cumulative frequency but not cumulative \(fx\)'s or other spurious values
Part (ii)
AnswerMarks Guidance
AnswerMarks Guidance
Median \(= 9.67\)B1 FT Based on \(25^{th}\) to \(26^{th}\) value. Allow answers between 9.66 and 9.68 without checking curve. B0 for interpolation
Part (ii) continued – IQR
AnswerMarks Guidance
AnswerMarks Guidance
\(Q_1 = 9.51\), \(Q_3 = 9.83\), Interquartile range \(= 9.83 - 9.51 = 0.32\)B1 FT for \(Q_3\) or \(Q_1\); B1 FT for IQR providing both \(Q_1\) and \(Q_3\) correct Based on \(12^{th}\) to \(13^{th}\) and \(37^{th}\) to \(38^{th}\) values. Allow answers between 9.50–9.52 and 9.82–9.84 without checking. B0 for interpolation. Allow correct IQR from graph if quartiles not stated
Part (iii)
AnswerMarks Guidance
AnswerMarks Guidance
Lower limit \(9.51 - 1.5 \times 0.32 = 9.03\); Upper limit \(9.83 + 1.5 \times 0.32 = 10.31\); Thus there are no outliers in the sampleB1 FT their \(Q_1\), IQR; B1 FT their \(Q_3\), IQR; E1 (NB E mark dep on both B marks) Any use of median \(\pm 1.5\times\) IQR scores B0B0E0. If FT leads to limits above 9.1 or below 10.1 then E0. No marks for \(\pm 2\) or \(3\times\) IQR
Part (iv)(A)
AnswerMarks Guidance
AnswerMarks Guidance
\(P(\text{All 3 more than } 9.5) = \frac{38}{50}\times\frac{37}{49}\times\frac{36}{48} = 0.4304\) \((= \frac{50616}{117600} = \frac{2109}{4900})\)M1 for \(\frac{38}{50}\times\) (triple product); M1 for product of remaining fractions; A1 CAO \(\left(\frac{38}{50}\right)^3\) gives 0.4389 scores M1M0A0. \(^3C_0 \times 0.24^0 \times 0.76^3\) still scores M1. Allow unsimplified fraction as final answer
Part (iv)(B)
AnswerMarks Guidance
AnswerMarks Guidance
\(P(\text{at least 2 more than } 9.5) = 3\times\frac{38}{50}\times\frac{37}{49}\times\frac{12}{48} + 0.4304 = 3\times0.1435 + 0.4304 = 0.861\) \((= \frac{2109}{2450})\)M1 for product of 3 correct fractions; M1 for \(3\times\) a sensible triple or sum of 3 sensible triples; M1 indep for \(+0.4304\) FT; A1 CAO Or: \(1-\left[\left(\frac{12}{50}\times\frac{11}{49}\times\frac{10}{48}\right)+\left(3\times\frac{12}{50}\times\frac{11}{49}\times\frac{38}{48}\right)\right] = 1-[0.01122+0.12796]=0.861\)
# Question 3:

## Part (i)
| Answer | Marks | Guidance |
|--------|-------|----------|
| Cumulative frequency table: Upper Bounds 9.1, 9.3, 9.5, 9.7, 9.9, 10.1; CF: 0, 5, 12, 27, 43, 50 | B1 | May be implied from graph. Condone omission of 0 |
| Linear scales on both axes | G1 | Linear horizontal scale; linear vertical scale 0 to 50. No inequality scales |
| Correct labels on axes | G1 | Heating quality or $x$ and Cumulative frequency or CF. Not just frequency or fd |
| Points plotted at correct UCB positions | G1 | Ignore $(9.1, 0)$ at this stage. No midpoint or LCB plots. Plotted within $\frac{1}{2}$ small square |
| Points joined (line or smooth curve) including $(9.1, 0)$ | G1 | All G's dep on attempt at cumulative frequency but not cumulative $fx$'s or other spurious values |

## Part (ii)
| Answer | Marks | Guidance |
|--------|-------|----------|
| Median $= 9.67$ | B1 FT | Based on $25^{th}$ to $26^{th}$ value. Allow answers between 9.66 and 9.68 without checking curve. B0 for interpolation |

## Part (ii) continued – IQR
| Answer | Marks | Guidance |
|--------|-------|----------|
| $Q_1 = 9.51$, $Q_3 = 9.83$, Interquartile range $= 9.83 - 9.51 = 0.32$ | B1 FT for $Q_3$ or $Q_1$; B1 FT for IQR providing both $Q_1$ and $Q_3$ correct | Based on $12^{th}$ to $13^{th}$ and $37^{th}$ to $38^{th}$ values. Allow answers between 9.50–9.52 and 9.82–9.84 without checking. B0 for interpolation. Allow correct IQR from graph if quartiles not stated |

## Part (iii)
| Answer | Marks | Guidance |
|--------|-------|----------|
| Lower limit $9.51 - 1.5 \times 0.32 = 9.03$; Upper limit $9.83 + 1.5 \times 0.32 = 10.31$; Thus there are no outliers in the sample | B1 FT their $Q_1$, IQR; B1 FT their $Q_3$, IQR; E1 (NB E mark dep on both B marks) | Any use of median $\pm 1.5\times$ IQR scores B0B0E0. If FT leads to limits above 9.1 or below 10.1 then E0. No marks for $\pm 2$ or $3\times$ IQR |

## Part (iv)(A)
| Answer | Marks | Guidance |
|--------|-------|----------|
| $P(\text{All 3 more than } 9.5) = \frac{38}{50}\times\frac{37}{49}\times\frac{36}{48} = 0.4304$ $(= \frac{50616}{117600} = \frac{2109}{4900})$ | M1 for $\frac{38}{50}\times$ (triple product); M1 for product of remaining fractions; A1 CAO | $\left(\frac{38}{50}\right)^3$ gives 0.4389 scores M1M0A0. $^3C_0 \times 0.24^0 \times 0.76^3$ still scores M1. Allow unsimplified fraction as final answer |

## Part (iv)(B)
| Answer | Marks | Guidance |
|--------|-------|----------|
| $P(\text{at least 2 more than } 9.5) = 3\times\frac{38}{50}\times\frac{37}{49}\times\frac{12}{48} + 0.4304 = 3\times0.1435 + 0.4304 = 0.861$ $(= \frac{2109}{2450})$ | M1 for product of 3 correct fractions; M1 for $3\times$ a sensible triple or sum of 3 sensible triples; M1 indep for $+0.4304$ FT; A1 CAO | Or: $1-\left[\left(\frac{12}{50}\times\frac{11}{49}\times\frac{10}{48}\right)+\left(3\times\frac{12}{50}\times\frac{11}{49}\times\frac{38}{48}\right)\right] = 1-[0.01122+0.12796]=0.861$ |

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3 The heating quality of the coal in a sample of 50 sacks is measured in suitable units. The data are summarised below.

\begin{center}
\begin{tabular}{ | l | c | c | c | c | c | }
\hline
Heating quality $( x )$ & $9.1 \leqslant x \leqslant 9.3$ & $9.3 < x \leqslant 9.5$ & $9.5 < x \leqslant 9.7$ & $9.7 < x \leqslant 9.9$ & $9.9 < x \leqslant 10.1$ \\
\hline
Frequency & 5 & 7 & 15 & 16 & 7 \\
\hline
\end{tabular}
\end{center}

(i) Draw a cumulative frequency diagram to illustrate these data.\\
(ii) Use the diagram to estimate the median and interquartile range of the data.\\
(iii) Show that there are no outliers in the sample.\\
(iv) Three of these 50 sacks are selected at random. Find the probability that\\
(A) in all three, the heating quality $x$ is more than 9.5 ,\\
$( B )$ in at least two, the heating quality $x$ is more than 9.5.

\hfill \mbox{\textit{OCR MEI S1  Q3 [18]}}