v0.2.20

docs/statlab_corr_spearman_rho.rst

@@ -146,7 +146,7 @@ More Details
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 Assume that :math:`Y_{i1} \sim \mathcal{D}`.
-For continuous :math:`Y_{i1}`, if we can assume that :math:`P(S_{i2}=0)=1`, 
+For continuous :math:`Y_{i1}`, if we can assume that :math:`P(S_{i1}=0)=1`, 
 then :eq:`eq_rank` can be simplified as :math:`R_{i1} = S_{i1}`.
 For a given sample size :math:`n`, and :math:`r \in \{1, \ldots, n\}`, the PMF of :math:`R_{i1}` is 
 :math:`P(R_{i1} = r) = \frac{1}{n}`, which does not depend on :math:`\mathcal{D}` [4]_.