diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 332f496..310a0ac 100644
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -9,11 +9,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Libraries"
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import scipy.stats as st"
    ]
   },
   {
@@ -32,11 +34,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(172.14308590115726, 174.79024743217607)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "heights = [167, 167, 168, 168, 168, 169, 171, 172, 173, 175, 175, 175, 177, 182, 195]\n",
+    "\n",
+    "mean = sum(heights) / len(heights)\n",
+    "n = 15\n",
+    "std = 4\n",
+    "\n",
+    "st.norm.interval(0.80, loc = mean, scale = std/np.sqrt(n))"
    ]
   },
   {
@@ -51,11 +70,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "80% Confidence Interval: (0.2548114047320704, 0.2594743095536438)\n",
+      "90% Confidence Interval: (0.2541504703696276, 0.2601352439160866)\n"
+     ]
+    }
+   ],
    "source": [
-    "# your code here"
+    "n = 105\n",
+    "shops_with_losses = 27\n",
+    "\n",
+    "proportion = shops_with_losses / n\n",
+    "\n",
+    "standard_error = (proportion * (1 - proportion)) / n\n",
+    "\n",
+    "interval_80 = stats.norm.interval(0.80, loc=proportion, scale=standard_error)\n",
+    "interval_90 = stats.norm.interval(0.90, loc=proportion, scale=standard_error)\n",
+    "\n",
+    "print(f\"80% Confidence Interval: {interval_80}\")\n",
+    "print(f\"90% Confidence Interval: {interval_90}\")"
    ]
   },
   {
@@ -131,7 +170,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -145,7 +184,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,