WAEC 2013 · Paper 2 · Q11

Marks (%) 1–10 11–20 21–30 31–40 41–50 51–60 61–70 71–80 81–90 91–100
Frequency 2 3 5 13 19 31 13 9 4 1

The frequency distribution table shows the marks obtained by 100 students in a Mathematics test.

  1. (a)

    Draw a cumulative frequency curve for the distribution.

    Model answer
    0.510.520.530.540.550.560.570.580.590.5100.5102030405060708090100Marks (%)Cumulative frequency≈ 56≈ 15

    Plot each cumulative frequency against the upper class boundary (10.5,20.5,…,100.510.5, 20.5, \ldots, 100.5), starting from (0.5,0)(0.5, 0) and ending at (100.5,100)(100.5, 100), and join the points with a smooth S-shaped curve. Label both axes.

    For (b): across from 60 the curve gives the 60th percentile, about 56; up from 34.5 it reads about 15, so about 85 of the 100 passed and the probability is about 0.850.85.

  2. (b)

    Use the graph to find the: (i) 60th percentile; (ii) probability that a student passed the test if the pass mark was fixed at 35%35\%.

    Separate values with commas, e.g. 3, −2

Try it on a graph

The ogive with the 60th-percentile reading.

Worked solution (try it first)

(a)

  1. Make the cumulative frequency table, with the upper class boundaries:
  2. Marks 1–10 11–20 21–30 31–40 41–50 51–60 61–70 71–80 81–90 91–100
    Upper boundary 10.5 20.5 30.5 40.5 50.5 60.5 70.5 80.5 90.5 100.5
    Cumulative frequency 2 5 10 23 42 73 86 95 99 100
  3. Plot each cumulative frequency at its upper boundary, starting from (0.5,0)(0.5, 0), and join the points with a smooth S-shaped curve.

(b)(i)

  1. The 60th percentile is at 60100×100=60\frac{60}{100} \times 100 = 60 on the cumulative frequency axis.
  2. Go across to the curve and down: about 56.
  3. (As a check, 60 lies between 42 at 50.5 and 73 at 60.5: 50.5+60−4231×10≈56.350.5 + \frac{60 - 42}{31} \times 10 \approx 56.3.)

(ii)

  1. A pass is 35 or more.
  2. Go up from 34.5 (the boundary below 35) to the curve and across: about 15 students scored less than 35.
  3. So about 100−15=85100 - 15 = 85 passed, and P(passed)≈85100P(\text{passed}) \approx \frac{85}{100}
    =0.85= 0.85.
  4. A reading close to this from your own curve is fine.

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