Descriptive Statistics and its tools in problem solving and correct decision making

Mathematical technique that obtains, organizes, presents and describes a set of data with the purpose of facilitating its use, generally with the support of tables, numerical measures or graphs

In the economy

Allows supporting decision-making for the application of the economic policy that countries propose to lead society

It allows drawing up the development strategy according to the programs that are considered according to the prevailing conditions in each nation.

The development plans of the economy of a country are drawn up, the control of their compliance is supervised and the resource needs by territories are determined.

It is applied in order to be able to predict and understand future events, based on statistical and mathematical analysis, and thus be able to suggest economic policy measures according to desired objectives.

The statistics are divided into:

Descriptive statistics

Inferential Statistics

Variable Types

Nominal variable (or categorical or qualitative non-ordinal)

Ordinal or scale variable (non-numeric)

Discrete numeric variable

Variable de intervalo (numérica continua)

In the health

Allows understanding of the rational foundations on which diagnostic, prognostic and therapeutic decisions are based

Interprets laboratory tests and clinical observations and measurements with an understanding of physiological, observer, and instrument variations

Provides knowledge and understanding of information about the etiology and prognosis of diseases, in order to advise patients on how to avoid diseases or limit their effects

Provides discernment of health problems so that available resources are applied efficiently to solve them

in companies

It helps to identify organizations made up of different elements, human, technical and material and whose objective is the achievement of some economic or commercial benefit, satisfying the needs of customers.

It is essential to evaluate and control in the work area

It is fundamental in order to manage and improve the activities of the company.

It serves as support to focus on the contextual framework, provides a statistical foundation, relationship between variables, quality assurance and considerations to learn to measure and manage numbers and, most importantly, decision making.

in psychology

It allows extracting and summarizing useful information from the observations that are made, the psychologist must base his decisions on limited data and these are easier to make with the help of statistics, it gives greater clarity and precision to psychological thought and research

Statistical planning of the investigation: Locate the sources of information, choose the material. Pose a study problem

Design the experiment. The model is validated by comparing it with what happens in reality. Statistical methods known as hypothesis test or significance test are used.