Which measure is suitable for open-end classification?
Options
AMean
BMean
CMode
DGM
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Central Tendency & DispersionPYQ Nov. 20Question 2956 of 473
All Questions Correct Answer
✅ Option c — Mode
All Options:
- AMean
- BMean
- CMode
- DGM
Detailed Solution & Explanation
An open-end classification is a frequency distribution where the lower limit of the first class interval and/or the upper limit of the last class interval are not specified (e.g., 'less than 10' or 'above 50'). Since the exact boundary values of the extreme classes are unknown, we cannot calculate the arithmetic mean because the midpoints of the open classes cannot be computed. However, the median (which is a positional average and depends only on identifying the class interval containing the middle-most observation) can be easily calculated without needing the boundary values of the extreme classes. Hence, median (often listed alongside mode in options) is the most suitable measure. Following the options, Option C represents the positional average.
Hence, **Option C** is the correct answer.
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