diff --git a/hamrick-introduction-to-jupyter/basics/5 - Analyzing Data with Pandas and Statsmodels.ipynb b/hamrick-introduction-to-jupyter/basics/5 - Analyzing Data with Pandas and Statsmodels.ipynb
index 975d793..02f2e85 100644
--- a/hamrick-introduction-to-jupyter/basics/5 - Analyzing Data with Pandas and Statsmodels.ipynb	
+++ b/hamrick-introduction-to-jupyter/basics/5 - Analyzing Data with Pandas and Statsmodels.ipynb	
@@ -189,7 +189,7 @@
    "outputs": [],
    "source": [
     "# groupby stimulus, hole width, and hole class, and then compute the mean of the 'response' column for each group\n",
-    "mean_resp = data.groupby([\"stim\", \"hole_width\", \"hole_class\"])[\"response\"].mean()\n",
+    "mean_resp = data.groupby([\"stim\", \"hole_width\", \"hole_class\"])[\"rt\"].mean()\n",
     "mean_resp.head()"
    ]
   },
@@ -208,7 +208,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "data.groupby([\"stim\", \"hole_width\", \"hole_class\"])[\"response\"].apply(np.mean).head()"
+    "data.groupby([\"stim\", \"hole_width\", \"hole_class\"])[\"rt\"].apply(np.mean).head()"
    ]
   },
   {
@@ -245,7 +245,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "resp_stats = data.groupby([\"stim\", \"hole_width\", \"hole_class\"])[\"response\"].apply(calc_stats)\n",
+    "resp_stats = data.groupby([\"stim\", \"hole_width\", \"hole_class\"])[\"rt\"].apply(calc_stats)\n",
     "resp_stats.head()"
    ]
   },
@@ -606,6 +606,18 @@
    "display_name": "Python 3",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,