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Answer :
The example has the drawback of making it unclear what age range each bracket corresponds to for effective data-analysis.
Under the instance, do babies count as being "under 18"? Does "over 65" encompass individuals who are 100 years of age? Confusion and incorrect data interpretation may result from this. Age categories must be defined precisely and consistently in order for data to be properly analyzed and interpreted.
The ages of two or more people are compared in a ratio, fraction, or percentage when age-related problems need to be solved. However, if we don't have the right set of data, we can have trouble addressing the problem and end up with mistakes.
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Correct question is:
What is the problem with the following example?
Age: under 18
18 to 25
25 to 40
40 to 65
over 65
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