Selection Random

Random selection is a type of selection in which all units in the population are given an equal opportunity to be included in the sample.

Random sampling differs from other types of sampling in that each unit in the population has the same probability of being selected for the sample. Thus, the composition of the sample is completely determined by chance, and not by the subjective choice of the researcher.

There are several methods for performing random sampling:

1. By lot - each unit of the population is assigned a number, then by lot the numbers that fall into the sample are determined.

2. Using a random number table - a pre-prepared table of random numbers is used to determine the units to be selected.

3. Random number generator method - using a computer program, random numbers are generated that specify the numbers of selected units.

Thus, random sampling allows us to obtain an objective, representative sample, the data of which can be extended to the entire population. This makes random sampling one of the most reliable statistical sampling methods.

Selection Random: Equal opportunity for everyone in the sample

Random sampling is one of the key methods of statistical research, providing equal opportunities for all units in the population to be included in the sample. This method is based on the use of randomness in sampling, which allows one to obtain representative data and make generalizations to the entire population.

Unlike other selection methods, where certain criteria or preferred elements are selected, random selection eliminates the subjectivity and bias of the researcher. Moreover, each unit of the general population has an equal probability of being selected, which ensures the objectivity and reliability of the results.

There are several ways to carry out random sampling. One of them is selection by lot. In this case, each unit of the population is marked and placed in a container, and then a random selection of one or more units is made by drawing the marked lots. This method does not require special equipment and is available for use in various studies.

Another method of random selection is the use of random number tables. Random number tables are created so that each number has an equal chance of being selected. The researcher can use these tables to determine the random numbers or indexes of the population units that will constitute the sample. This method requires access to tables of random numbers, but ensures unbiased and random selection.

Random selection has a number of advantages. Firstly, it avoids distortions in the research results associated with subjectivity and bias. Secondly, it ensures the representativeness of the sample, which allows generalizations to be made to the entire population. In addition, this method is easy to use and does not require complex calculations or special equipment.

However, random selection also has some limitations. First, with a large population, a significant amount of time and resources may be required to conduct random sampling. Secondly, in some cases, random sampling may not ensure sufficient representation of some subgroups in the sample, which may lead to biased results.

In conclusion, random sampling is a method that ensures equal opportunity for all units in the population to be included in the sample. The use of randomness in sampling ensures the objectivity and reliability of the research results. Despite some limitations, random sampling remains an important tool in statistical analysis, allowing generalizations to be made from reliable data and avoiding researcher bias and subjectivity. It is the basis for many statistical methods and helps in obtaining objective results that can be applied in various fields of knowledge and research.