Main Array Method in Statistics

**The bulk method in statistics** is a method used in statistical research that consists of studying only those parts of the population where the majority of units of analysis are concentrated. This method is often used when the sample cannot fully represent the entire population and studying only explicit portions of the sample can produce meaningful results.

**A fundamental method in sociology** is used to change the distribution of survey results and increase statistical power or measurement precision. The main array of analysis is a reverse screening method; in a different way, a group is selected (in the case of qualitative data) of those questions that received the least votes on the questionnaire as a whole (in some cases, all questions are selected). Mainstream research focuses on the most controversial questions, usually those to which respondents gave opposing answers. For example, if 20% of respondents answered “yes” to the question “I love summer”, and 80% answered “no”, then the main body of analysis will be aimed at questions that caused such a high percentage against and vice versa, if the same question more than 80% answered “yes”.

Principal array analysis is a way to select well-informed observations and also provides better control over the sampling measure. It allows you to take into account some degree of division of opinion in the sample and exclude cases that do not sufficiently reflect the general opinion of the respondents

When we want to find out the characteristics of a sample, we must consider all its units of observation, i.e. consider the entire set. However, it is not always possible to say what is generally better for the population (for the entire population).

Sampling and sampling. In general, the number of variables that we display in aggregate is very limited, but it is often necessary to generate many indicators in order to consider all possible observation situations/states. For example, a store can evaluate products/services according to 20 different parameters