Analysis of discrete data (Chapter 13) 291
Example 7 Self Tutor
Class interval Frequency
0 - 9 2
10 - 19 31
20 - 29 73
30 - 39 85
40 - 49 28
The table summarises the marks received by students for a Physics
examination out of 50.
a Estimate the mean mark.
b What is the modal class?
c Can the range of the data be found?
Class interval f Mid-point (x) fx
0 - 9 2 4 : 5 9 : 0
10 - 19 31 14 : 5 449 : 5
20 - 29 73 24 : 5 1788 : 5
30 - 39 85 34 : 5 2932 : 5
40 - 49 26 44 : 5 1157 : 0
217 6336 : 5
a Mean =
P
fx
P
f
=
6336 : 5
217
¼ 29 : 2
b The modal class is 30 - 39 marks.
c
3
85 £^10 is the
fraction of the
interval in which
the median is
found.
No, as we do not know the smallest
and largest score.
This formula is
.
not
examinable
THE MEDIAN
We can estimate the median of a grouped data set by using acumulative
frequency graphorogive. This is done inChapter 17.
The approximate median can also be calculated using a formula:
median¼L+
N
F
£I
whereL=the lower boundary for the class interval containing the
median
N=the number of scores in the median class needed to arrive
at the middle score
F=the frequency of the class interval containing the median
I=the class interval length.
For example, inExample 7we notice that n= 217, so the median is the
217 + 1
2
= 109th score.
There are2 + 31 + 73 = 106 scores in the first 3 classes, so the median
class is 30 - 39.
For discrete data, the lower and upper boundaries for the
class interval 30 - 39 are 29 : 5 and 39 : 5 , ) L=29: 5.
N= 109¡106 = 3, F=85and I=10
) the median¼ 29 :5+ 853 £ 10 ¼ 29 : 9
Totals
IGCSE01
cyan magenta yellow black
(^05255075950525507595)
100 100
(^05255075950525507595)
100 100
y:\HAESE\IGCSE01\IG01_13\291IGCSE01_13.CDR Thursday, 16 October 2008 9:47:27 AM PETER