How Do I Calculate the Variance of a Transformed Random Variable?

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Homework Statement



How do I calculate the variance of
[tex]\frac{1}{\log{X} + 2}[/tex]

where X is a random variable?


The Attempt at a Solution



Is it:
[tex]\frac{1}{\log{var(X)}}[/tex]




Homework Equations





The Attempt at a Solution

 
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What is the expectation value of the probability distribution?
 
The forst post was just something I made up. The estimator I am trying to calculate the variance of:
[tex]\hat{\theta} = \frac{n}{\sum{ln(X_i)}_{i=1}^n - n \ln(k)}[/tex]

Which is the maximum likelihood to a pareto distribution
When I calculated the expected value I got:

[tex]E(\hat{\theta}) = \frac{\theta}{\theta-1}[/tex]
[tex]E(X) = \frac{\theta k}{\theta - 1}[/tex]
 
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