Identify, from the following, the moment used as a measure of skewness?

This question was previously asked in
SSC CGL Tier-II ( JSO ) 2021 Official Paper ( Held On: 10 August 2022 )
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  1. First moment
  2. Fourth moment
  3. Third moment
  4. Second moment

Answer (Detailed Solution Below)

Option 3 : Third moment
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Detailed Solution

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The correct answer is Third moment

Key Points

  • The first moment is called the MEAN which describes the center of the distribution.
  • The second moment is the VARIANCE which describes the spread of the observations around the center.
  • The third moment describes other aspects of a distribution such as how the distribution is skewed from its mean or peaked.
  • Skewness is a measure of the asymmetry of a probability distribution about its mean.
  • The third moment is often used as a measure of skewness, as it indicates the degree of asymmetry of a distribution.
  • A positive third moment indicates that the distribution is skewed to the right, while a negative third moment indicates that the distribution is skewed to the left.

Additional Information

  • Skewness is a measure of the asymmetry of a distribution
  • Third moment is used as a measure of skewness
  • Positive third moment indicates a right-skewed distribution
  • Negative third moment indicates a left-skewed distribution
  • Other measures of skewness include the mean deviation and the coefficient of mean deviation.
  • The third moment should be used with caution as it can be sensitive to outliers, and may not always accurately reflect the shape of a distribution. 
    • It is important to consider the overall shape of a distribution and use multiple measures of skewness when analyzing data.
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