Topic 1: Data information & Knowledge
- Created by: KatieWarburton
- Created on: 21-03-17 12:00
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- Topic 1: Data information & Knowledge
- Definitions & examples
- Data: Raw facts or figures that are meaningless
- Information: Consists of processed data or data with context
- Knowledge: Is derived from information with rules applied to it
- Example 1: Data: 1,23.4,2,26.9,3,30.4 Information: these are the race times of swimmers Knowledge: Swimmer 1 was the fastest so consequently wins the race
- How data may arise
- From automatic measurements of enviromental quantities
- From a transaction
- From a survey
- From the results of an experiment
- Encoding Data
- Processing is faster because less RAM is required
- Saves time typing in data
- Takes up less storage space on the hard drive
- Limited choice leading to less accurate data
- Encoding can coarsen data leading to loss of precision
- Value judgments cn be made
- Untitled
- Value judgments
- Encoding data often involves the person collecting or entering the data in making judgments about which codes to use
- Can lead to inconcistency
- Coarsening data can lead to loss of precision
- Example:Light brown hair, Mousy and dark can all be classed as brown
- Definitions & examples
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