The absolute frequency is defined as the set of data and information provided by a statistics accompanied by frequencies to determine a value or an event. Therefore, the concept of absolute frequency determines the total number of times that a given value will remain in a set of information that has been taken as a reference.
What is the absolute frequency formula?
To calculate the absolute frequency of an event, we find a formula that considers both the number of events, data or values, identified with the letter N. Below we discover what the absolute frequency formula looks like and what procedure it follows:
What is the difference between the absolute frequency and the cumulative and relative frequency?
To understand how the absolute frequency differs from the cumulative and relative frequency, it is first of all important to define the characteristics of the latter two. The accumulated frequency is the one that is responsible for adding all the absolute frequencies of each of the values. The relative frequency is what is in charge of calculating the absolute frequency between the total number of events, data or values. Finally, the relative absolute frequency is the one calculated based on the resulting division between the accumulated frequency itself and its total percentage of data.
All this is what gives rise to a frequency table that allows us to more easily extract calculations to determine an event, with respect to its probability or statistics. For this reason, it is said that the absolute frequency will always return an array.
Absolute frequency example
To better understand what the absolute frequency is and how it is calculated, we are going to study a practical example through a frequency table:
