- #1
shadishacker
- 30
- 0
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?