The data below represent the per capita (average) disposable income (income after taxes) for 25 randomly selected cities in a recent year.

Frequency distribution allows finding the occurrence of events: 12, 9, 0, 1
The frequency distribution is a grouping of data in exclusive categories, where the number of occurrences of each event is indicated
In this case the categories and their occurrences are
Categories Occurrence Frecuencie relative (%)
30,000 - 36,000 12 54.5%
36000 - 42000 9 40.9%
42000 - 48000 0 0%
48000 - 54000 1 4.5%
With these data, bar graphs can be built where the category is placed on the x-axis, an independent variable, and the occurrences on the y-axis, a dependent variable.
With these distributions, relative frequency is defined, which is the number of times a category appears among the total number of events.
fr = occurrence /n
Where fr is the relative frequency and n is the number of events, sometimes it is given as a percentage by multiplying by one hundred
In this case the number of events is n = 22
Category 30000- 36000
fr₁ = 12/22
fr₁ = 0.5454
fr₁% = 54.5%
Category 36000 - 42000
fr₂ = 9/22
fr₂ = 0.4090
fr₂% = 40.9%
Category 42000-48000
fr₃ = 0
fr₃% = 0%
Category 48000 - 54000
fr₄ = 1/22
fr₄ = 0.04545
fr₄% = 4.5%
The frequency distribution allows finding the occurrence of the events:
12, 9, 0, 1
Learn more about frequency distribution here: brainly.com/question/17008997