General Population in Statistics

The population is the collection of all elements that were studied in an experiment or statistical study. It provides the basis for data analysis and provides insight into the characteristics of the phenomenon being studied. Let's take a closer look at this concept.

What is a population?

The general population is the totality of all potential subjects of research. Any sample

The population in statistics is the collection of all units of observation that represents the phenomenon being studied and is used to obtain statistical data. It is the basis for statistical research and data analysis.

The population consists of all possible variants of the phenomenon being studied that can be used for analysis. For example, if we are studying the relationship between age and income, then the population will be the collection of all people with different age groups and income.

When conducting a statistical study, it is necessary to determine the general population and select observation units. Selection may or may not be random, depending on the purpose of the study and the availability of data.

After selecting observation units from the population, statistical analysis of the data can be carried out to obtain statistical indicators such as mean, standard deviation, correlation coefficient and others. These indicators allow you to evaluate the characteristics of the phenomenon being studied and draw conclusions about its behavior.

Thus, the population is the basis for statistical data analysis and allows one to obtain more accurate and reliable results. Therefore, it is important to correctly define and describe the population when conducting statistical research.