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Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. [1] It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data. [2]
The Brown Corpus was a carefully compiled selection of current American English, totalling about a million words drawn from a wide variety of sources. Kučera and Francis subjected it to a variety of computational analyses, from which they compiled a rich and variegated opus, combining elements of linguistics, psychology, statistics, and sociology.
Certified cost or pricing data may not be obtained for acquisitions at or below the simplified acquisition threshold. [3] Other exceptions are stated in FAR 15.403-1(b) or may be adopted under a waiver requested by the contracting officer in exceptional circumstances. If certified cost or pricing data has been requested by the Government and ...
The assessment provided information about students' fluency in reading aloud and examined the relationship between oral reading, accuracy, rate, fluency, and reading comprehension. America's Charter Schools was a pilot study conducted as a part of the 2003 NAEP assessments in mathematics and reading at the fourth-grade level.
Basic research on processing fluency has been applied to marketing, [29] to business names, and to finance. For example, psychologists have determined that, during the week following their IPO, stocks perform better when their names are fluent/easy to pronounce and when their ticker symbols are pronounceable (e.g., KAG) vs. unpronounceable (e.g., KGH).
The Certificate in Data Processing (CDP) was a certification administered by the Data Processing Management Association. The CDP required several years experience in information technology , the recommendation of a current CDP holder, and the successful completion of a six-part written exam.
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