diff --git a/doc/source/dsintro.rst b/doc/source/dsintro.rst
index ddf8c678b766a..1ce40ea74a6bb 100644
--- a/doc/source/dsintro.rst
+++ b/doc/source/dsintro.rst
@@ -483,7 +483,7 @@ each type:
 
    df.get_dtype_counts()
 
-Numeric dtypes will propgate and can coexist in DataFrames (starting in v0.10.2). 
+Numeric dtypes will propagate and can coexist in DataFrames (starting in v0.11.0). 
 If a dtype is passed (either directly via the ``dtype`` keyword, a passed ``ndarray``, 
 or a passed ``Series``, then it will be preserved in DataFrame operations. Furthermore, different numeric dtypes will **NOT** be combined. The following example will give you a taste.
 
diff --git a/doc/source/v0.11.0.txt b/doc/source/v0.11.0.txt
index 5254f0e1d6c93..d2648cbdb5a44 100644
--- a/doc/source/v0.11.0.txt
+++ b/doc/source/v0.11.0.txt
@@ -11,7 +11,7 @@ to.
 API changes
 ~~~~~~~~~~~
 
-Numeric dtypes will propgate and can coexist in DataFrames. If a dtype is passed (either directly via the ``dtype`` keyword, a passed ``ndarray``, or a passed ``Series``, then it will be preserved in DataFrame operations. Furthermore, different numeric dtypes will **NOT** be combined. The following example will give you a taste.
+Numeric dtypes will propagate and can coexist in DataFrames. If a dtype is passed (either directly via the ``dtype`` keyword, a passed ``ndarray``, or a passed ``Series``, then it will be preserved in DataFrame operations. Furthermore, different numeric dtypes will **NOT** be combined. The following example will give you a taste.
 
 **Dtype Specification**