Exercises · Q8
Q.Do you agree that classified data is better than raw data? Why?
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Start your 14-day free trial to unlock the full solution →Classified data is generally better than raw data: it organises a scattered mass of figures into meaningful groups, making the information concise, comparable and ready for analysis. The one drawback — loss of individual detail — is outweighed by these gains.
Raw data vs classified data
Raw (unclassified) data are figures in the order in which they were collected — a large, disorganised mass that is hard to grasp or use. Classified data arrange these figures into homogeneous groups on the basis of a common characteristic.
Why classified data is better
- Condensed and concise: a huge body of raw figures is reduced to a few compact classes, so the whole dataset can be seen at a glance.
- Easy to understand: organised groups make the essential features of the data clear.
- Enables comparison: similar items are placed together, so groups can be compared readily.
- Reveals patterns: similarities, differences and the general shape of the data (concentration, spread) become visible.
- Ready for analysis: it is the necessary base for tabulation, diagrams and statistical calculation.
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