Electronic Data Processing | Office Management and Secretaryship - Types of Data | 11th Office Management and Secretaryship : Chapter 6 : Electronic Data Processing

Chapter: 11th Office Management and Secretaryship : Chapter 6 : Electronic Data Processing

Types of Data

Data are broadly divided into two types namely quantitative (or numeric) and qualitative:

Types of Data:

 

Data are broadly divided into two types namely quantitative (or numeric) and qualitative:

 

1. Quantitative Data: Quantitative or numerical data refers to the observations that can be counted or measured. The data are said to be discrete if the measurements are integers (e.g. number of members in a family, number of students in the classroom, number of chocolates consumed per day) and continuous if the measurements can take on any value, usually within some range (e.g. weight).

 

2. Qualitative Data: Qualitative data is descriptive information (describes something). It arises when the observations fall into separate distinct categories. Since qualitative data always have a limited number of alternative values, such variables are also described as discrete.

 

Examples are: Colour of eyes: blue, green, brown etc

 

Exam result: pass or fail

 

Socio-economic status: low, middle or high.

 

Qualitative Data is broken down into Two Sub-Types:

 

·              nominal if there is no natural order between the categories (e.g. eye colour), or

·              Ordinal if an ordering exists (e.g. exam results, socio-economic status).

 

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