The Skewness of the Distribution of a Random Variable Y $\frac { E \left[ \left( Y ^ { 3 } - \mu _ { y } \right) \right] } { \sigma _ { y } ^ { 2 } }$

question 23

Multiple Choice

The skewness of the distribution of a random variable Y is defined as follows:

• A) \(\frac { E \left[ \left( Y ^ { 3 } - \mu _ { y } \right) \right] } { \sigma _ { y } ^ { 2 } }\)
• B) \(E \left[ \left( Y - \mu _ { y } \right) ^ { J } \right]\)
• C) \(\frac { E \left[ \left( Y ^ { ] } - \mu _ { y } ^ { ] } \right) \right] } { \sigma _ { y } ^ { J } }\)
• D) \(\frac { E \left[ \left( Y - \mu _ { \gamma } \right) ^ { 3 } \right] } { \sigma _ { y } ^ { 3 } }\)

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