Suppose two distributions have the same mean, same standard deviation and are equally skewed, but the first distribution is more peaked than the
other. This feature of the frequency distributions in which they are different are called:

This question was previously asked in
SSC CGL Tier-II ( JSO ) 2016 Official Paper ( Held On : 2 Dec 2016 )
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  1. Central Tendency
  2. Dispersion
  3. Symmetry
  4. Kurtosis

Answer (Detailed Solution Below)

Option 4 : Kurtosis
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Detailed Solution

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Explanation

Kurtosis means ''bulginess''. Kurtosis refers to the degree of flatness or peakedness in the region about the mode of frequency curve. The degree of kurtosis of a distribution is measured relative to the peakedness of normal curve. In other words measures of kurtosis tell us the extent to which a distribution is more peaked or flat topped than the normal curve

∴ This feature of the frequency distributions in which they are different are called kurtosis

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