Qualitative data
Data types for entering records depend on the nature of data
Temporarily DATA is stored in Primary Memory (RAM - Volatile in nature). Permanently DATA is written to Secondary Memory Storage Devices (HDDs, Optical Disks - Non Volatile in nature).
The nature of statistics is such that it gives logical methods of understanding data. Statistics are practically applied in all sectors.
Primary memory are volatile in nature. Eg. RAM. This memory loses data when computer is switched off.
There are many options: some of them depend on the nature of the data and the level of sophistication.Stem and leafClustered columnBack-to-back columnsScatter plotsLine chartsPie chartsThere are many options: some of them depend on the nature of the data and the level of sophistication.Stem and leafClustered columnBack-to-back columnsScatter plotsLine chartsPie chartsThere are many options: some of them depend on the nature of the data and the level of sophistication.Stem and leafClustered columnBack-to-back columnsScatter plotsLine chartsPie chartsThere are many options: some of them depend on the nature of the data and the level of sophistication.Stem and leafClustered columnBack-to-back columnsScatter plotsLine chartsPie charts
Usually a column chart, but it depends on what exactly you want to do and the nature of the data.
Bias in the data is inaccurate data. Any error in data will yield false results for the experiment. Experiments by their nature must be exact. Many trials are not accepted until the results can be duplicated.
This is an example of categorical data. Categorical data represents categories or groups and is typically qualitative in nature.
self-describing nature of a database system. insulation between programs and data, and data abstraction. support of multiple views of the data. sharing of data and multiuser transaction processing.
A data set that describes the colors of cars in a parking lot would be classified as qualitative data. This is because the data is descriptive and categorical in nature, rather than numerical or measured.
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