Frequency tables and frequency diagrams
When a lot of dataValues, typically letters or numbers. needs to be sorted, one of the most efficient ways is to use a frequency table.
It is important to consider the sizes of groups when sorting data into a frequency tableThe total of the tally marks is called the frequency, which is shown in an addition column to the right. With this extra-column, the table is called a frequency table..
Example
Megan owns a bakery. She counts the number of customers she has at lunchtime each day on 30 consecutive days. These are the results.
13 | 8 | 16 | 12 | 12 | 16 |
7 | 18 | 11 | 16 | 15 | 7 |
11 | 12 | 13 | 21 | 17 | 19 |
11 | 14 | 10 | 19 | 13 | 12 |
7 | 16 | 6 | 14 | 12 | 18 |
13 |
8 |
16 |
12 |
12 |
16 |
7 |
18 |
11 |
16 |
15 |
7 |
11 |
12 |
13 |
21 |
17 |
19 |
11 |
14 |
10 |
19 |
13 |
12 |
7 |
16 |
6 |
14 |
12 |
18 |
It can be useful to put the data into groups to give an overview summary of the data. The smallest number is 6 and the biggest number is 21, so groups that have a width of 5 are reasonable. This will give four groups as shown below.
Number of customers, \(n\) | Tally | Frequency |
5-10 | \(\cancel{||||}~|\) | 6 |
11-15 | \(\cancel{||||}~\cancel{||||}~||||\) | 14 |
16-20 | \(\cancel{||||}~||||\) | 9 |
21-25 | \(|\) | 1 |
Number of customers, \(n\) | 5-10 |
---|---|
Tally | \(\cancel{||||}~|\) |
Frequency | 6 |
Number of customers, \(n\) | 11-15 |
---|---|
Tally | \(\cancel{||||}~\cancel{||||}~||||\) |
Frequency | 14 |
Number of customers, \(n\) | 16-20 |
---|---|
Tally | \(\cancel{||||}~||||\) |
Frequency | 9 |
Number of customers, \(n\) | 21-25 |
---|---|
Tally | \(|\) |
Frequency | 1 |