To work on statistics it is important to know what it is. So we can define statistics as a field of mathematics that deals with the collection, order and analysis of a set of data in order to obtain explanations and predictions about observed phenomena.
Statistics consists of methods, procedures and formulas that allow gathering information and then analyzing it and extracting relevant conclusions from it. It can be said that its main objective is to improve the understanding of the facts based on the available information.
The origin of the word statistic is usually attributed to the economist Gottfried Achenwall (Prussian, 1719-1772) who understood statistics as "science of things that belong to the State".
One of the fundamental characteristics of statistics is its transversality. Its methodology is applicable to the study of diverse disciplines such as: biology, physics, economics, sociology, etc.
The statistics help to obtain relevant conclusions for the study of all types of agents such as: humans, animals, plants, etc. Generally it does so through statistical samples.
Statistics can be subdivided into two main branches: descriptive and inferential.
• The descriptive: refers to the methods of collection, organization, summary and presentation of a set of data. It is mainly a question of describing the fundamental characteristics of the data and indicators, graphs and tables are usually used for them.
• The inferential: it is a step beyond the mere description. It refers to the methods used to make predictions, generalizations and draw conclusions from the analyzed data taking into account the degree of uncertainty.
The statistics help to obtain relevant conclusions for the study of all types of agents such as: humans, animals, plants, etc. Generally it does so through statistical samples.
Statistics can be subdivided into two main branches: descriptive and inferential.
• The descriptive: refers to the methods of collection, organization, summary and presentation of a set of data. It is mainly a question of describing the fundamental characteristics of the data and indicators, graphs and tables are usually used for them.
• The inferential: it is a step beyond the mere description. It refers to the methods used to make predictions, generalizations and draw conclusions from the analyzed data taking into account the degree of uncertainty.
In statistics, graphic representation is very important, so a good exercise for the third cycle would be this, because it is a good way to internalize the correct way how to make the graph:
On this other website students can also practice this concept:
https://www.dane.gov.co/files/dane-para-ninos/jugando-con-la-estadistica.html
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