What is qualitative classification example?

This classification is according to qualities or at¬tributes of the data. For example, data may be classified on the basis of occupation, religion, level of intelligence of the population etc.

How do you classify quantitative data?

Quantitative Data can be divided into two types, namely; Discrete & Continuous Data. Discrete data is a type of data that consists of counting numbers only, and as such cannot be measured.

How do you classify quantitative research?

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research.

What are the four types of data classification?

Typically, there are four classifications for data: public, internal-only, confidential, and restricted.

What is qualitative classification in research?

In Qualitative classification, data are classified on the basis of some attributes or quality such as sex, colour of hair, literacy and religion. In this type of classification, the attribute under study cannot be measured.

What are the two types of quantitative classification of data?

There are two types of quantitative classification of data. They are Variable refers to the characteristic that varies in magnitude or quantity. E.g. weight of the students. A variable may be discrete or continuous. A discrete variable can take only certain specific values that are whole numbers (integers).

What is qualitative data in statistics?

In statistics, there are two main types of data, namely; quantitative data and qualitative data. For the sake of this article, we will be considering one of these two, which is the qualitative data. What is Qualitative Data? Qualitative data is a type of data that describes information.

What is quantquantitative classification?

Quantitative classification refers to the classification of data according to some characteristics, which can be measured such as height, weight, income, profits etc. Example: The students of a school may be classified according to the weight as follows Weight (in kgs) No of Studemts 40-50 50