Updating the notebooks

notebooks/chap01.ipynb

@@ -83,7 +83,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:08.628591Z",
@@ -118,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:08.634488Z",
@@ -131,7 +131,7 @@
    "source": [
     "import pandas as pd\n",
     "\n",
-    "gss = pd.read_csv('gss_bayes.csv', index_col=0)\n",
+    "gss = pd.read_csv('gss_bayes.csv')\n",
     "gss.head()"
    ]
   },
@@ -143,7 +143,7 @@
     "\n",
     "The columns are\n",
     "\n",
-    "* `caseid`: Respondent id (which is the index of the table).\n",
+    "* `caseid`: Respondent identifier.\n",
     "\n",
     "* `year`: Year when the respondent was surveyed.\n",
     "\n",
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.085579Z",
@@ -197,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.100573Z",
@@ -222,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.108607Z",
@@ -254,7 +254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.115436Z",
@@ -279,7 +279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.121943Z",
@@ -310,7 +310,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.133453Z",
@@ -333,7 +333,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 13,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.138777Z",
@@ -379,7 +379,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.144820Z",
@@ -402,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 15,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.150191Z",
@@ -445,7 +445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 16,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-04-16T19:35:09.156357Z",
@@ -1658,7 +1658,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

notebooks/chap02.ipynb

@@ -290,12 +290,12 @@
    "source": [
     "I call the result `unnorm` because these values are the \"unnormalized posteriors\".  Each of them is the product of a prior and a likelihood:\n",
     "\n",
-    "$$P(B_i)~P(D|B_i)$$\n",
+    "$$P(H_i)~P(D|H_i)$$\n",
     "\n",
     "which is the numerator of Bayes's Theorem. \n",
     "If we add them up, we have\n",
     "\n",
-    "$$P(B_1)~P(D|B_1) + P(B_2)~P(D|B_2)$$\n",
+    "$$P(H_1)~P(D|H_1) + P(H_2)~P(D|H_2)$$\n",
     "\n",
     "which is the denominator of Bayes's Theorem, $P(D)$.\n",
     "\n",
@@ -819,7 +819,7 @@
  "metadata": {
   "celltoolbar": "Tags",
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -833,7 +833,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

notebooks/chap05.ipynb

@@ -1306,7 +1306,7 @@
  "metadata": {
   "celltoolbar": "Tags",
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1320,7 +1320,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,