# Examples of quantitative data

## Quantitative data

When researching using **quantitative data** , what it means is that data are obtained in **numerical form,** which can then be studied to have answers based on **statistics,** which are represented in the form of tables or graphs in different formats. Furthermore, you can combine 2 or 3-dimensional graphs, bar graphs, pie, polygonal, pictograms, among others.

## Examples of **quantitative data**

**Age,****height,****temperature,**prices,**population,**distances, weight and many other variables, which can be represented with figures.- Number of people in a region, according to age.
- Blood glucose levels
- Age of users in Social Networks
- Number of women in Buenos Aires during 2008
- Number of men in Buenos Aires during 2008
- Total number of people in the population (CENSUS).
- Number of registered students
- Number of people graduated from the university
- Number of lower class families in the Pangeral municipality
- Number of middle class families in the Guaca municipality
- Number of upper-class relative in the Pangeral municipality
- Number of professionals in the medical field in the country
- Number of education professionals in the municipality
- Children between 6 and 8 years old who currently attend school in the municipality
- Total number of disabled people in the company Tres tristres tigres
- Number of pregnant women who are part of the miculpa company

**Why and what for? QUANTITATIVE DATA**

In order to obtain this type of data it is necessary that all the elements of the investigation and the problem can be clearly defined, that is, **quantitative data** are explicitly defined with numbers , where the problem begins, where it goes and what is its conclusion .

That is, in **quantitative research** , the approach or input hypothesis, development and conclusions are expressed through **numerical data** expressed either in frequencies, percentages or statistics in general.

In other words, **quantitative data** allows you to measure or calculate something within the investigation. When used, they make it easy to read actual **results** ; since these, support the hypothesis and everything that arises.

Thus, we can say at the moment in which there are **statistics** regarding the investigated topic, reality can be shown and they are no longer mere theories or hypotheses to induce the **presentation of results,** the respective **conclusions and** even induce **recommendations** .

Research, based on **quantitative data,** can be **descriptive, analytical or experimental.**

- The
**experimental group**takes the population and divides it into a control group and another study group to be analyzed. - The
**descriptive**is the stage in which the scientific work is being prepared, that is, where the**procedures and variables**are determined for the phenomena to be studied. - The
**analytics,**induces the contribution of conclusions. It is more complete because a relationship (comparison) of the variables between the study groups must be established.

For the collection of **quantitative data** , among the most used **instruments** are: **survey, questionnaire and the census** .

In contrast to **quantitative data** , there are those of a **qualitative** type , typical of a **qualitative research** and that in general, are presented in a descriptive way, highlighting or evaluating a **quality or attribute** and; not a number.

For example:

- Way of drinking coffee, in the mornings (with milk; red; brown);
- How does the internet influence the performance of adolescents ?;
- Relationship between diet, height and weight of a population.