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Environmental issues are in some cases quantitatively measurable, but other properties are qualitative, including environmentally friendly manufacturing, responsibility for the entire life of a product (from the raw-material till scrap), attitudes towards safety, efficiency, and minimum waste production.
Qualitative descriptions or distinctions are based on some quality or characteristic rather than on some quantity or measured value. Qualitative may also refer to: Qualitative property, a property that can be observed but not measured numerically; Qualitative research, a research paradigm focusing on non-quantifiable measurements
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In statistics, a categorical variable (also called qualitative variable) is a variable that can take on one of a limited, and usually fixed, number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property. [1]
Some physical properties are qualitative, such as shininess, brittleness, etc.; some general qualitative properties admit more specific related quantitative properties, such as in opacity, hardness, ductility, viscosity, etc. Physical properties are often characterized as intensive and extensive properties. An intensive property does not depend ...
A PDF file is organized using ASCII characters, except for certain elements that may have binary content. The file starts with a header containing a magic number (as a readable string) and the version of the format, for example %PDF-1.7. The format is a subset of a COS ("Carousel" Object Structure) format. [24]
English: Example for Quine's notion of a "qualitative sphere", used in his article "Natural Kinds" (1970). In analogy to the definition of a circle area in geometry, Quine's sphere is defined as the set of all objects x that are more similar to a "paradigm" object p than p is to a "foil" object f .
Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning".