91热爆

Frequency tables and frequency diagrams

When a lot of 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 .

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.

13816121216
7181116157
111213211719
111410191312
7166141218
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, \(n\)TallyFrequency
5-10\(\cancel{||||}~|\)6
11-15\(\cancel{||||}~\cancel{||||}~||||\)14
16-20\(\cancel{||||}~||||\)9
21-25\(|\)1
Number of customers, \(n\)5-10
Tally\(\cancel{||||}~|\)
Frequency6
Number of customers, \(n\)11-15
Tally\(\cancel{||||}~\cancel{||||}~||||\)
Frequency14
Number of customers, \(n\)16-20
Tally\(\cancel{||||}~||||\)
Frequency9
Number of customers, \(n\)21-25
Tally\(|\)
Frequency1