Step 1

In statistics, according to measurement, data can be categorized in two types, such as quantitative data and qualitative data.

Step 2

Quantitative variable can take numerical values, whereas qualitative variable is used to identify the characteristics of a variable as categories. Moreover, mathematical operations cannot be performed on qualitative data, but can be performed on quantitative data.

Advantages and disadvantages of quantitative data:

Quantitative data are easy to analysis, consistent and reliable. If the sampling procedure is procedure, then it representatives a proper study population.

However, quantitative data sometimes robust to understand complex issues. Moreover, it is difficult to understand the main matter of the phenomenon.

Advantages and disadvantages of qualitative data:

The selection procedure of qualitative data is cost efficient. It is not robust to understand complex issues.

However, it is very difficult to analyse and the selection procedure is time consuming.

In statistics, according to measurement, data can be categorized in two types, such as quantitative data and qualitative data.

Step 2

Quantitative variable can take numerical values, whereas qualitative variable is used to identify the characteristics of a variable as categories. Moreover, mathematical operations cannot be performed on qualitative data, but can be performed on quantitative data.

Advantages and disadvantages of quantitative data:

Quantitative data are easy to analysis, consistent and reliable. If the sampling procedure is procedure, then it representatives a proper study population.

However, quantitative data sometimes robust to understand complex issues. Moreover, it is difficult to understand the main matter of the phenomenon.

Advantages and disadvantages of qualitative data:

The selection procedure of qualitative data is cost efficient. It is not robust to understand complex issues.

However, it is very difficult to analyse and the selection procedure is time consuming.