diff --git a/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb b/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb
index 8f4c371..1b4cfd1 100644
--- a/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb
+++ b/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyMBYNsjj1iTgHUYhAXqUYJd",
+      "authorship_tag": "ABX9TyOSEQVqxE5KrXmsZVh9M3gq",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -253,7 +253,7 @@
         "pr_x1_x2_given_z_val = get_likelihood(x1_mesh,x2_mesh, z_val)\n",
         "\n",
         "# Plot the result\n",
-        "plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2_given_z_val, title=\"Conditional distribution $Pr(x1,x2|z)$\")\n",
+        "plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2_given_z_val, title=\"Conditional distribution $Pr(x_1,x_2|z)$\")\n",
         "\n",
         "# TODO -- Experiment with different values of z and make sure that you understand the what is happening."
       ],
@@ -292,7 +292,7 @@
         "\n",
         "\n",
         "# Plot the result\n",
-        "plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2, title=\"Data density $Pr(x1,x2)$\")\n"
+        "plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2, title=\"Data density $Pr(x_1,x_2)$\")\n"
       ],
       "metadata": {
         "id": "H0Ijce9VzeCO"
@@ -341,7 +341,7 @@
       "source": [
         "x1_samples, x2_samples = draw_samples(500)\n",
         "# Plot the result\n",
-        "plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2, x1_samples, x2_samples, title=\"Data density $Pr(x1,x2)$\")\n"
+        "plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2, x1_samples, x2_samples, title=\"Data density $Pr(x_1,x_2)$\")\n"
       ],
       "metadata": {
         "id": "XRmWv99B-BWO"