Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
nothing that i can think of
Anytime you are able to measure something, it is quantitative data. Qualitative data represents the quality of something which cannot be measured.
Quantitative data is data that is relating to, measuring, or measured by the quantity of something, rather than its quality. ex: the number of people in a townQualitative data is data that can be captured that is not numerical in nature ex: the color of people's skin.Thus, essentially the distinction is that quantitative data deals with numbers and numerical values of what is being tested, where as qualitative data deals with the quality of what is being tested.Qualitative data's description cannot be describe in numbers. Quantitative data's description ca only be described in numbers.
Dispersion is an abstract quality of a sample of data. Dispersion is how far apart or scattered the data values appear to be. Common measures of dispersion are the data range and standard deviation.
The legend is the function that identifies the data marker for each series in a chart.
column heading
MAC
The legend identifies patterns used for each series.
The Data Type.
Data that identifies the UIC and describes the unit designated to support the force requirement
The DATA QUALITY in the medical field is much different then any other data quality in the whole world.
Data Quality Assessment is a tool used by many businesses and corporations. The objective of Data Quality Assessment procedures is to give businesses and corporations accurate reports and data. Some of the things Data Quality Assessment does is to confirm data and find missing data.
legend
label
attribute of an entity which uniquely identifies a specific instance of the data
MAC