# Thread: Finding the Variance of (1/S)

1. ## Finding the Variance of (1/S)

Given that we have $X_{1}, ... , X_{n} \sim iid G$ where $G$ is unknown.

Find $V(\overline{X} / S)$ Where $X$ is the sample Mean, $S^2$ is the sample variance and $V( \cdot )$ is the variance.
So...
$V(\overline{X} / S) = E[\overline{X}^2 / S^2] - E[\overline{X} / S]^2$
Since $\overline{X}$ and $S^2$ are independent,
$V(\overline{X} / S) = E[\overline{X}^2]E[1 / S^2] - E[\overline{X} / S]^2$

We were having a real hard time finding $E[1 / S^2]$. Also, can the $E[\overline{X} / S]^2$ be broken up in a similar way to the other term?

Is there another way to approach this problem?

2. ## Re: Finding the Variance of (1/S)

I can't get the LaTex to work. But the first error is the variance of the sample mean divided by the sample standard deviation. We've been haveing a hard time finding the E(1/S) and E(1/S^2)... Any ideas?

3. ## Re: Finding the Variance of (1/S)

Originally Posted by jameselmore91
We've been asked to find the $Var( \bar{X} / S)$ where $\bar{X}$ is the Sample Mean and S is the Sample Variance.

We've worked it all out but are having a hard time caclulating $Var(1/S)$ and $Var((1/S)^2)$.
Any ideas? Is there an easier way to approach this problem?
Use [TEX]...[/TEX] raps for LaTeX.

4. ## Re: Finding the Variance of (1/S)

Without any further asumption on the rv's distributions, it's not possible to say anything...

5. ## Re: Finding the Variance of (1/S)

The only thing known about the random variables is that they are identically and independently distributed with population mean µ and variance "sigma squared"