diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 08fbe3be9b092..17ad347d58fdf 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -589,9 +589,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.Series.sparse.sp_values \
         pandas.Timestamp.fromtimestamp \
         pandas.api.types.infer_dtype \
-        pandas.api.types.is_bool_dtype \
-        pandas.api.types.is_categorical_dtype \
-        pandas.api.types.is_complex_dtype \
         pandas.api.types.is_datetime64_any_dtype \
         pandas.api.types.is_datetime64_dtype \
         pandas.api.types.is_datetime64_ns_dtype \
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index 2b21cee06a632..ce6ed6ca60238 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -469,6 +469,8 @@ def is_categorical_dtype(arr_or_dtype) -> bool:
 
     Examples
     --------
+    >>> from pandas.api.types import is_categorical_dtype
+    >>> from pandas import CategoricalDtype
     >>> is_categorical_dtype(object)
     False
     >>> is_categorical_dtype(CategoricalDtype())
@@ -1253,6 +1255,7 @@ def is_bool_dtype(arr_or_dtype) -> bool:
 
     Examples
     --------
+    >>> from pandas.api.types import is_bool_dtype
     >>> is_bool_dtype(str)
     False
     >>> is_bool_dtype(int)
@@ -1405,6 +1408,7 @@ def is_complex_dtype(arr_or_dtype) -> bool:
 
     Examples
     --------
+    >>> from pandas.api.types import is_complex_dtype
     >>> is_complex_dtype(str)
     False
     >>> is_complex_dtype(int)