diff --git a/doc/source/comparison_with_sas.rst b/doc/source/comparison_with_sas.rst
index fd42c97c9cbc0..2b3a1b927cbbf 100644
--- a/doc/source/comparison_with_sas.rst
+++ b/doc/source/comparison_with_sas.rst
@@ -142,10 +142,10 @@ and did not have column names, the pandas command would be:
 
 .. code-block:: python
 
-   tips = pd.read_csv('tips.csv', sep='\t', header=False)
+   tips = pd.read_csv('tips.csv', sep='\t', header=None)
 
    # alternatively, read_table is an alias to read_csv with tab delimiter
-   tips = pd.read_table('tips.csv', header=False)
+   tips = pd.read_table('tips.csv', header=None)
 
 In addition to text/csv, pandas supports a variety of other data formats
 such as Excel, HDF5, and SQL databases.  These are all read via a ``pd.read_*``