this is for holding javascript data
Daniel Stanley Tan edited Computing_this_within_class_variance__.tex
over 8 years ago
Commit id: 7b651e57b46c7fcf3c9c5d711d3a676826d2df48
deletions | additions
diff --git a/Computing_this_within_class_variance__.tex b/Computing_this_within_class_variance__.tex
index 35a2995..d6fdd0f 100644
--- a/Computing_this_within_class_variance__.tex
+++ b/Computing_this_within_class_variance__.tex
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If you subtract the within-class variance of the combined distribution, you get something called the between-class variance:
\begin{align}
\sigma_{\text{Between}}(T) &= \sigma^2 - \sigma^2_{\text{Within}}(T)
\\
& = n_B(T)[\mu_B(T)-\mu]^2+n_O(T)[\mu_O(T)-\mu]^2
\end{align}