Fichas
Topic 1: Data, Information and Knowledge
Fichas del conjunto (9)
- 1Define DataRaw facts and figures with no meaning by themselves
- 2Define InformationData with context which makes it meaningful that has been processed by a computer
- 3Define KnowledgeDerived from information by applying rules to it. Using information to make decisions and get to a conclusion
- 4Example to show relationship between data; information and knowledgeSwimming:
Data: 80,70,65
Information: Swim time for the 100m front crawl
Knowledge: 80,70,65 (seconds) Swimmer no.3 is the fastest swimmer in this race and thus wins - 5Benefits of encoding dataTakes up less memory/storage space on the hard drive
e.g. M is 1 byte whereas male is 4 bytes.
Faster to type in
e.g. F is much faster to type in than Female
Quicker/easier to validate single character e.g F or M less likely to make entry errors
Faster for computer to search - F faster to find than Female - 6Give an example for Coarsening precisionWhen looking at eye colour in criminal database and only have blue and green options but eyes were bluey green then there are not enough categories making the data LESS USEFUL, giving misleading results
- 7Three disadvantages of encoding dataCoarsening precision
Reliance on value judgement in limited list leads to inconsistency
Limited choice leading to loss of precision - 8Give an example for reliance on value judgement in limited list leads to inconsistencyTall, Medium, Small rather than actual specific height of students or weight: fat, skinny, obese. One persons tall is medium for another person.
- 9Give an example for limited choice leading to the loss of precisionLarge or Medium or Small means data will be less PRECISE when considering actual height, better to have greater range to choose from: 1.2-1.4m, 1.4m-1.6m etc.
Información
- Descripción
- AS IT Fichas sobre Topic 1: Data, Information and Knowledge, creado por lauramyates3 el 07/04/2014.
- Creado por
- lauramyates3 · abr 2014
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- 19 feb 2016
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