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Quantilative is where quantitative and qualitative data start to blur. You can ask a question in a quantitative fashion (survey question) but if you have a small sample size, then you need to interpret the data qualitatively (e.g., few, some, most) as opposed to quantitatively (e.g., 10%).
it can go the other way as well. If you have a qualitative exercise (e.g., highlighter exercise) that you deploy to a large sample size, you can interpret that data quantitatively (e.g., % who selected a certain area of the image).
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Data formats and data collection?
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Which of these is an example of a type of technology used to collect data-?
Metadata is "data about data". There are two "metadata types;" structural metadata, about the design and specification of data structures or "data about the containers of data"; and descriptive metadata about individual instances of application data or the data content.
Definition of ungrouped data?
Ungrouped data is data that is not grouped in a specific order. Grouped data is a set of data that has unique characteristics in common.
Primary data secondary data?
primary data structures
What are primary data and secoundary data?
primary data structures
