354 Continuous data (Chapter 17)
Continuous data is placed intoclass intervalswhich are usually represented byinequalities.
For example, for heights in the 140 s of centimetres we could write 1406 h< 150.
To find the mean of continuous data, we use the same method as for grouped discrete data described in
Chapter 13sectionF.
Since the data is given in intervals, our answer will only be anestimateof the mean.
Example 1 Self Tutor
Height (hcm) Frequency (f)
1306 h< 140 2
1406 h< 150 4
1506 h< 160 12
1606 h< 170 20
1706 h< 180 9
1806 h< 190 3
The heights of students (hcm) in a hockey
training squad were measured and the results
tabled:
a Estimate the mean height.
b State the modal class.
Height (hcm) Mid-value (x) Frequency (f) fx
1306 h< 140 135 2 270
1406 h< 150 145 4 580
1506 h< 160 155 12 1860
1606 h< 170 165 20 3300
1706 h< 180 175 9 1575
1806 h< 190 185 3 555
Total 50 8140
EXERCISE 17A
Weight (kg) Frequency
756 w< 80 2
806 w< 85 5
856 w< 90 8
906 w< 95 7
956 w< 100 5
1006 w< 105 1
1 A frequency table for the weights of a volleyball squad is given
alongside.
a Explain why ‘weight’ is a continuous variable.
b What is the modal class? Explain what this means.
c Describe the distribution of the data.
d Estimate the mean weight of the squad members.
A THE MEAN OF CONTINUOUS DATA [11.5]
a Mean=
P
fx
P
f
¼
8140
50
¼ 163 cm
b The modal class is
1606 h< 170 :
IGCSE01
cyan magenta yellow black
(^05255075950525507595)
100 100
(^05255075950525507595)
100 100
Y:\HAESE\IGCSE01\IG01_17\354IGCSE01_17.CDR Monday, 20 October 2008 2:31:24 PM PETER