- #1

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## Main Question or Discussion Point

Hi everyone.

I am totally new to statistics so my question may or may not be simple!

I know that for the data fitting we can do a chi squared test like:

\begin{equation} \chi^2 = \Sigma \frac{(f_{data}-f_{model})^2}{(error_{data})^2}\end{equation}

So I have been doing this for a while, but now I have some data with different error, let's say like:

\begin{equation} f_i = 2 ^{+0.9}_{-0.1}\end{equation}

How should I do the chi squared test for this?! What should I consider as the error? 0.9 ? 0.1?

I am totally new to statistics so my question may or may not be simple!

I know that for the data fitting we can do a chi squared test like:

\begin{equation} \chi^2 = \Sigma \frac{(f_{data}-f_{model})^2}{(error_{data})^2}\end{equation}

So I have been doing this for a while, but now I have some data with different error, let's say like:

\begin{equation} f_i = 2 ^{+0.9}_{-0.1}\end{equation}

How should I do the chi squared test for this?! What should I consider as the error? 0.9 ? 0.1?