Question 1 Report
The table shows the frequency distribution of marks scored by some candidates in an examination.
| Marks | 0-9 | 10-19 | 20-29 | 30-39 | 40-49 | 50-59 | 60-69 | 70-79 | 80-89 | 90-99 |
| Freq | 2 | 5 | 8 | 18 | 20 | 15 | 5 | 4 | 2 | 1 |
(a) Draw the cumulative frequency curve of the distribution.
(b) Use your graph to estimate the :
(i) semi-interquartile range of the distribution; (ii) percentage of candidates who passed with distinction if the least mark for distinction was 72.
(a) Cumulative frequency table
| Marks | Frequency | Upper class boundary | Cumulative frequency |
|---|---|---|---|
| 0–9 | 2 | 9.5 | 2 |
| 10–19 | 5 | 19.5 | 7 |
| 20–29 | 8 | 29.5 | 15 |
| 30–39 | 18 | 39.5 | 33 |
| 40–49 | 20 | 49.5 | 53 |
| 50–59 | 15 | 59.5 | 68 |
| 60–69 | 5 | 69.5 | 73 |
| 70–79 | 4 | 79.5 | 77 |
| 80–89 | 2 | 89.5 | 79 |
| 90–99 | 1 | 99.5 | 80 |
The total number of candidates is \(N=80\). Plot cumulative frequency against the upper class boundaries and draw a smooth increasing ogive.
(b)(i) Semi-interquartile range
\[Q_1\text{ is the }\frac{N}{4}=\frac{80}{4}=20\text{th value.}\]
From the ogive, \(Q_1\approx 32.5\).
\[Q_3\text{ is the }\frac{3N}{4}=\frac{3(80)}{4}=60\text{th value.}\]
From the ogive, \(Q_3\approx 53.0\).
\[\text{Semi-interquartile range}=\frac{Q_3-Q_1}{2}=\frac{53.0-32.5}{2}=\boxed{10.25\text{ marks}}\]
(b)(ii) Percentage passing with distinction
From the ogive, the cumulative frequency at a mark of \(72\) is approximately \(74\).
\[\text{Number scoring at least }72=80-74=6\]
\[\text{Percentage with distinction}=\frac{6}{80}\times100\%=\boxed{7.5\%}\]
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