# Examples of 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

1. Age, height, temperature, prices, population, distances, weight and many other variables, which can be represented with figures.
2. Number of people in a region, according to age.
3. Blood glucose levels
4. Age of users in Social Networks
5. Number of women in Buenos Aires during 2008
6. Number of men in Buenos Aires during 2008
7. Total number of people in the population (CENSUS).
8. Number of registered students
9. Number of people graduated from the university
10. Number of lower class families in the Pangeral municipality
11. Number of middle class families in the Guaca municipality
12. Number of upper-class relative in the Pangeral municipality
13. Number of professionals in the medical field in the country
14. Number of education professionals in the municipality
15. Children between 6 and 8 years old who currently attend school in the municipality
16. Total number of disabled people in the company Tres tristres tigres
17. 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.