Discrete, Attribute Grouped, Ungrouped, Qualitative & QuANtative Data, Continuous, Primary & Secondary data

1. Discrete Data: Data is a count that can't be made more precise. Typically it involves integers. For instance, the number of children (or adults, or pets) in your family is discrete data, because you are counting whole, indivisible entities: you can't have 2.5 kids, or 1.3 pets.

2. Attribute & qualitative Data Relationship: Attribute data is qualitative data that can be counted for recording and analysis. Examples include the presence or absence of a required label, the installation of all required fasteners. Attribute data is not acceptable for production part submissions unless variable data cannot be obtained.

3. Grouped Data: Data presented in the form of frequency distribution is called grouped data.

4. Ungrouped Data: Data which have been arranged in a systematic order are called raw data or ungrouped data

5. Primary data: The primary data are the first hand information collected, compiled and published by organization for some purpose. They are most original data in character and have not undergone any sort of statistical treatment. Example: Population census reports are primary data because these are collected, complied and published by the population census organization.

6. Secondary Data: The secondary data are the second hand information which are already collected by some one (organization) for some purpose and are available for the present study. The secondary data are not pure in character and have undergone some treatment at least once. Example: Economics survey of England is secondary data because these are collected by more than one organization like Bureau of statistics, Board of Revenue, the Banks etc.

7. Continuous Data: Continuous data are not restricted to defined separate values, but can occupy any value over a continuous range. Between any two continuous data values there may be an infinite number of others. Continuous data are always essentially numeric. Time, temperature & Weight are Continuous data.