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Reasons for grouping:
- saves space
- easier to look for patterns
- certain calculations may be performed that are more difficult on un-grouped data
Problems with grouping:
- may hide patterns if intervals are badly chosen
- open-ended intervals can be confusing to interpret, for example; Amir earns > £60,000 annually, or Umair spends < £100 weekly.
- Information may be lost- if only grouped data is published then it may lead to problems in statistical analysis.
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