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Description
Flashcards by lukeecollins1821, updated more than 1 year ago
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Created by lukeecollins1821
over 9 years ago
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| Question | Answer |
| What is the definition of 'Data' ? | Raw facts and figures that have no Context to them |
| Give an example of 'Data': | 1. Yes, Yes, No, Yes, No, Yes, No, Yes 2. 42, 63, 96, 74, 56, 86 3. 111192, 111234 |
| What is the definition of 'Information' ? | Data that has been processed by a computer system to give it context / meaning |
| Give an example of 'Information': | 1.Responses to the market research question – “Would you buy brand x at price y?” 2.Jayne’s scores entered in the six AS/A2 ICT modules 3.The previous and current readings of a customer’s gas meter |
| What is the definition of 'Knowledge' ? | Knowledge is information which has had rules applied to it in order to understand or interpret it |
| Give an example of 'Knowledge': | Swimmer 1 63.6s, Swimmer 2 59.3s, Swimmer 3 59.7s and swimmer 2 is the fastest and consequently wins |
| What is 'En-Coding' ? | It is the process of shorting data in a database and or spreadsheet into codes like M = Male or F = Female |
| What are the 'Advantages' of Encoding Data? | 1.Speeds up data entry as the codes are short and the user may click to select the code from a list 2.Reduces the chance of errors in Data Entry as there is less to type in 3.Codes are shorter than original data, so saves disc storage |
| What are the 'Disadvantages' of Encoding Data? | 1.Coarsens data by fitting it into small number of groups (categories) 2. Value judgments needed to fit data into a certain group (category), so selection of category by data entry staff may not be consistent. |
| What is meant 'En-Coding Value Judgments' | These are judgments when in a question say what its about; E.g What do you think of these Flashcards? Poor,Average, Good? |
| 'En-Coding Value Judgments' have many issues with them. These are: | 1. They are subject to personal opinion; E.g a persons good could be another persons poor. 2.They can be very difficult to En-Code without some loss in detail. |
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