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I believe there is a typo in
| When the uncertainties are Gaussian and their variances $\sigma_{yi}$ |
When the uncertainties are Gaussian and their variances $\sigma_{yi}^2$I also found this problem to be poorly worded
DataAnalysisRecipes/straightline/straightline.tex
Lines 1767 to 1774 in 710a6c9
| \begin{problem}\label{prob:chi2} | |
| Re-do the fit of \problemname~\ref{prob:easy} but setting all | |
| $\sigma_{yi}^2=S$, that is, ignoring the uncertainties and replacing | |
| them all with the same value $S$. What uncertainty variance $S$ would | |
| make $\chi^2 = N-2$? Relevant plots are shown in | |
| \figurename~\ref{fig:chi2}. How does it compare to the mean and | |
| median of the uncertainty variances $\allsigmay$? | |
| \end{problem} |
The statement
setting all $\sigma_{yi}^2=S$, that is, ignoring the uncertainties and replacing them all with the same value $S$is not self-consistent.
I believe it should read as
\begin{problem}\label{prob:chi2}
Re-do the fit of \problemname~\ref{prob:easy} but setting all
$\sigma_{yi}=S$, that is, ignoring the uncertainties and replacing
them all with the same value $\sqrt(S)$. What uncertainty variance $S$ would
make $\chi^2 = N-2$? Relevant plots are shown in
\figurename~\ref{fig:chi2}. How does it compare to the mean and
median variance of the uncertainty $\allsigmay$?
\end{problem} Metadata
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