diff --git a/your_code/main.ipynb b/your_code/main.ipynb
index 7810ccf..d84c3d6 100644
--- a/your_code/main.ipynb
+++ b/your_code/main.ipynb
@@ -14,11 +14,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The sum of observed frequencies does not agree with the sum of expected frequencies within the specified tolerance.\n"
+     ]
+    }
+   ],
    "source": [
-    "# your answer here"
+    "#The percent difference of 0.012530799505383763 indicates a small discrepancy between the sum of the observed frequencies and the sum of the expected frequencies"
    ]
   },
   {
@@ -60,13 +68,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Reject the null hypothesis..\n",
+      " Probability: 0.0\n"
+     ]
+    }
+   ],
    "source": [
-    "# your answer here"
+    "from scipy.stats import binom\n",
+    "\n",
+    "# Observed data\n",
+    "observed_defective = 62  # Replace with the actual number of observed defective tires\n",
+    "n = 10\n",
+    "p = 0.05\n",
+    "\n",
+    "# Calculate the probability mass function (PMF) for the observed number of defective tires\n",
+    "observed_probability = binom.pmf(observed_defective, n, p)\n",
+    "\n",
+    "# Set the significance level (alpha)\n",
+    "alpha = 0.05\n",
+    "\n",
+    "# Compare the observed probability to the significance level\n",
+    "if observed_probability < alpha:\n",
+    "    print(\"Reject the null hypothesis..\")\n",
+    "else:\n",
+    "    print(\"Fail to reject the null hypothesis.\")\n",
+    "\n",
+    "print(\" Probability:\", observed_probability)\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -89,7 +132,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -103,7 +146,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,