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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).
What else can I help you with?
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
What is master data metadata and run time data?
Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.
Another word simliar to storage?
Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse
What is a repository for definitions of data processes data flows data stores and data elements.?
A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.
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..
What makes up meta data what kind of data makes up meta data?
Metada data is data that describes other data.
What is measurable data?
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
What is the difference between data files and data records?
Data files are data whereas data records are backups.
Is data measurement?
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Is data noun or verb?
a noun u can get data and use data but not do data
What is a datacard?
A data card is a removable computer component that contains data or is used for data operations, such as data input, data output, data transformation and data transfer. Data cards provide identification, authentication, data storage and application processing. A data card is also known as a smart card.
Measurements of a plants growth over a two week period represents?
data what kind of dataquantitative data.
What is metadata what is its use in data warehouse architecture?
Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.
