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

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

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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

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