WAEC 2010 · Paper 2 · Q10

The table gives the distribution of marks for 360 candidates who sat for an examination.

Marks (%) 0–9 10–19 20–29 30–39 40–49 50–59 60–69 70–79 80–89
Number of candidates 20 48 60 72 80 40 25 10 5
  1. (a)

    Draw a cumulative frequency curve for the distribution.

    Model answer
    −0.59.519.529.539.549.559.569.579.589.54080120160200240280320360400Marks (%)Cumulative frequencyQ₁ ≈ 23.2Q₃ ≈ 48.3≈ 350

    Plot each cumulative frequency against the upper class boundary (9.5,19.5,…,89.59.5, 19.5, \ldots, 89.5), starting from (−0.5,0)(-0.5, 0) and ending at (89.5,360)(89.5, 360), and join the points with a smooth S-shaped curve. Label both axes.

    For (b) and (c): across from 90 and 270 the curve gives Q1≈23.2Q_1 \approx 23.2 and Q3≈48.3Q_3 \approx 48.3; up from 74.5 it reads about 350, so about 10 candidates scored 75%75\% or more.

  2. (b)

    Use your graph to estimate the semi-interquartile range.

  3. (c)

    If the minimum mark for distinction is 75%75\%, how many candidates passed with distinction?

Try it on a graph

The ogive: read the quartiles at 90 and 270, and the curve at 74.5.

Worked solution (try it first)

(a)

  1. Add the frequencies as you go: 20,68,128,200,280,320,345,355,36020, 68, 128, 200, 280, 320, 345, 355, 360.
  2. Plot each total against its upper class boundary (9.5,19.5,…,89.59.5, 19.5, \ldots, 89.5), start at (−0.5,0)(-0.5, 0), and join the points with a smooth curve.

(b)

  1. Read the quartiles at 3604=90\frac{360}{4} = 90 and 3×3604=270\frac{3 \times 360}{4} = 270: Q1≈23.2Q_1 \approx 23.2 and Q3≈48.3Q_3 \approx 48.3.
  2. Semi-interquartile range =12(Q3−Q1)= \frac12(Q_3 - Q_1)
    =12(48.3−23.2)= \frac12(48.3 - 23.2)
    ≈12.5\approx 12.5 marks.

(c)

  1. A mark of 75%75\% or more starts at 74.574.5.
  2. The curve reads about 350 there.
  3. So about 360−350=10360 - 350 = 10 candidates passed with distinction.

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