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A. Indicate management's understanding of the concept of variability
B. quantitative or qualitative data
C. reflect measurements on a continuous scale of a characteristic of the produce or service.
D.1) quality data for which the product or service is designed and built and2)reflect measurements on a continuous scale of a characteristic of the produce or service.
E. quality data for which the product or service is designed and built
Data quality refers to the condition of a set of values of qualitative or quantitative variables. 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".[1] Alternatively, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as data volume increases, the question of internal data consistencybecomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose. Data cleansing may be required in order to ensure data quality.[2]
D.1) quality data for which the product or service is designed and built and2)reflect measurements on a continuous scale of a characteristic of the produce or service.
