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

question 31

Short Answer

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. $E \left[ \left( Y - \mu _ { Y } \right) ^ { 3 } \right]$
c. $\frac { E \left[ \left( Y ^ { 3 } - \mu _ { Y } ^ { 3 } \right) \right] } { \sigma _ { Y } ^ { 3 } }$
d. $\frac { E \left[ \left( Y - \mu _ { Y } \right) ^ { 3 } \right] } { \sigma _ { Y } ^ { 3 } }$

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Definitions:

Revenues

The total amount of money received by a company for goods sold or services provided during a certain time period.

Equity

The residual interest in the assets of an entity after deducting liabilities, often referred to as shareholder's equity or owner's equity.