The frequency distribution of the weight of 100 participants in a high jump competition is as shown below.
Weight (kg)
20–29
30–39
40–49
50–59
60–69
70–79
Number of participants
10
18
22
25
16
9
(a)
Construct the cumulative frequency table.
Model answer
Weight (kg)
Frequency
Upper class boundary
Cumulative frequency
20–29
10
29.5
10
30–39
18
39.5
28
40–49
22
49.5
50
50–59
25
59.5
75
60–69
16
69.5
91
70–79
9
79.5
100
The last cumulative frequency, 100, is the total number of participants.
(b)
Draw the cumulative frequency curve.
Model answer
Plot each cumulative frequency against its upper class boundary, starting from (19.5,0), and join the points with a smooth S-shaped curve. For (c): reading across from 50 gives the median, about 49.5 kg, and from 25 and 75 the quartiles, about 37.8 kg and 59.5 kg.
(c)
From the curve, estimate the: (i) median; (ii) semi-interquartile range; (iii) probability that a participant chosen at random weighs at least 60 kg.
Try it on a graph
The ogive: read the median at 50 and the quartiles at 25 and 75.
Worked solution (try it first)
(a)
Add the frequencies as you go: 10,28,50,75,91,100.
Pair each total with the upper class boundary: 29.5,39.5,49.5,59.5,69.5,79.5.
(b)
Plot cumulative frequency against upper class boundary, starting at (19.5,0), and join the points with a smooth curve.
(c)(i)
The median is at 2100=50 on the cumulative frequency axis.
Reading across and down gives about 49.5 kg.
(ii)
Read the quartiles at 4100=25 and 43×100=75: Q1≈37.8 kg and Q3≈59.5 kg.
The semi-interquartile range is 21(Q3−Q1)=21(59.5−37.8)
≈10.8 kg.
(iii)
Weights of at least 60 kg start at the boundary 59.5, where the curve reads 75.