Let X be a random variable with mean μ and standard deviation σ. The skew ness of X is defined as
![](https://test.transtutors.com/qimg/9c565704-d367-48c4-a9fc-c53b1fab7aed.png)
Skew ness is a measure of the asymmetry of a distribution. Distributions that are symmetric about μ have skew ness equal to 0. Distributions that are right skewed have positive skew ness. Left-skewed distributions have negative skew ness.
(a) Show that
![](https://test.transtutors.com/qimg/48c51ff6-e97d-4a05-9c48-7f9c0c9d475f.png)
(b) Use the mgfs to find the skew ness of the exponential distribution with parameter λ.
(c) Use the mgfs to find the skew ness of a normal distribution.