diff --git a/jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb b/jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb
index 4fed04665..abab676ef 100644
--- a/jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb
+++ b/jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb
@@ -184,7 +184,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**8. Among whom is the proportion of those who earn a lot (>50K) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (Married-civ-spouse, Married-spouse-absent or Married-AF-spouse), the rest are considered bachelors.**"
+    "**8. Among whom is the proportion of those who earn a lot (>50K) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (Married-civ-spouse, Married-spouse-absent or Married-AF-spouse), the rest are considered single.**"
    ]
   },
   {
diff --git a/jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb b/jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb
index 29c43e888..ef918dc15 100644
--- a/jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb
+++ b/jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb
@@ -195,7 +195,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**8. Among whom the proportion of those who earn a lot(>50K) is more: among married or single men (*marital-status* feature)? Consider married those who have a *marital-status* starting with *Married* (Married-civ-spouse, Married-spouse-absent or Married-AF-spouse), the rest are considered bachelors.**"
+    "**8. Among whom the proportion of those who earn a lot(>50K) is more: among married or single men (*marital-status* feature)? Consider married those who have a *marital-status* starting with *Married* (Married-civ-spouse, Married-spouse-absent or Married-AF-spouse), the rest are considered single.**"
    ]
   },
   {
diff --git a/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md b/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md
index 8d4d179ce..5b7c0434a 100644
--- a/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md
+++ b/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md
@@ -118,7 +118,7 @@ data.head()
 # You code here (read-only in a JupyterBook, pls run jupyter-notebook to edit)
 ```
 
-**8. Among whom is the proportion of those who earn a lot (`>50K`) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (`Married-civ-spouse`, `Married-spouse-absent` or `Married-AF-spouse`), the rest are considered bachelors.**
+**8. Among whom is the proportion of those who earn a lot (`>50K`) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (`Married-civ-spouse`, `Married-spouse-absent` or `Married-AF-spouse`), the rest are considered single.**
 
 
 ```{code-cell} ipython3
diff --git a/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md b/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md
index 06e75bdf8..eb7355da8 100644
--- a/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md
+++ b/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md
@@ -129,7 +129,7 @@ for (race, sex), sub_df in data.groupby(["race", "sex"]):
     print(sub_df["age"].describe())
 ```
 
-**8. Among whom is the proportion of those who earn a lot (`>50K`) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (`Married-civ-spouse`, `Married-spouse-absent` or `Married-AF-spouse`), the rest are considered bachelors.**
+**8. Among whom is the proportion of those who earn a lot (`>50K`) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (`Married-civ-spouse`, `Married-spouse-absent` or `Married-AF-spouse`), the rest are considered single.**
 
 
 ```{code-cell} ipython3