diff --git a/sklearn/feature_selection/univariate_selection.py b/sklearn/feature_selection/univariate_selection.py
index 16002101a37f8..34b82c4061eb9 100644
--- a/sklearn/feature_selection/univariate_selection.py
+++ b/sklearn/feature_selection/univariate_selection.py
@@ -597,7 +597,7 @@ def _get_support_mask(self):
         n_features = len(self.pvalues_)
         sv = np.sort(self.pvalues_)
         selected = sv[sv <= float(self.alpha) / n_features
-                      * np.arange(n_features)]
+                    * (np.arange(n_features) + 1)]
         if selected.size == 0:
             return np.zeros_like(self.pvalues_, dtype=bool)
         return self.pvalues_ <= selected.max()