Frequency Tables
These are a useful way of collating raw data,
to quickly see the mode, find the median
and calculate the mean.
Example
A manufacturer claims that each packet of shazbo
contains 20 sweets on average.
When 30 packets of Shazbo are examined,
the results are as follows :-
No. of sweets per packet
18 17 22 19 20 20 21 19 18 20
21 19 21 19 20 20 20 17 19 21
22 18 17 16 20 20 20 21 21 20
Is the manufacturer correct ?
Construct a frequency table of the data.
|
No.ofSweets |
Tally |
Frequency |
|
16 |
ι |
1 |
|
17 |
ιιι |
3 |
|
18 |
ιιι |
3 |
|
19 |
|
5 |
|
20 |
|
10 |
|
21 |
|
6 |
|
22 |
ιι |
2 |
|
|
Total |
30 |
The table shows that the mode of the sample is
20 sweets, which has a frequency of 10.
The median value lies half way between the
15th and 16th values.
|
No.ofSweets |
Tally |
Frequency |
|
16 |
ι |
1 |
|
17 |
ιιι |
3 |
|
18 |
ιιι |
3 |
|
19 |
|
5 |
|
20 |
|
10 |
|
21 |
|
6 |
|
22 |
ιι |
2 |
|
|
Total |
30 |
Adding the frequency column shows
that the first 12 values have between 16
and 19 sweets.
The 15th and 16th values have 20 sweets.
The median is therefore 20 sweets.
To calculate the mean , we need to add another column
and multiply the frequency by the number of sweets.
|
Data No.ofSweets |
Tally |
Frequency |
Frequency x data |
|
16 |
ι |
1 |
16 |
|
17 |
ιιι |
3 |
51 |
|
18 |
ιιι |
3 |
54 |
|
19 |
|
5 |
95 |
|
20 |
|
10 |
200 |
|
21 |
|
6 |
126 |
|
22 |
ιι |
2 |
44 |
|
|
Total |
30 |
586 |
The mean is 19½ sweets,
which could be rounded to 20 sweets.
The manufacturer is correct !!