diff --git a/lab-intro-probability.ipynb b/lab-intro-probability.ipynb
index 5893fc1..a2d4d65 100644
--- a/lab-intro-probability.ipynb
+++ b/lab-intro-probability.ipynb
@@ -38,11 +38,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.8844772466215431\n"
+     ]
+    }
+   ],
    "source": [
-    "#code here"
+    "from scipy.stats import binom\n",
+    "\n",
+    "n = 460\n",
+    "p = 0.97\n",
+    "\n",
+    "prob = binom.cdf(450, n, p)\n",
+    "\n",
+    "print(prob)"
    ]
   },
   {
@@ -72,11 +87,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.49\n"
+     ]
+    }
+   ],
    "source": [
-    "#code here"
+    "from scipy.stats import geom\n",
+    "\n",
+    "p = 0.3\n",
+    "\n",
+    "# P(X >= 3) = 1 - P(X <= 2)\n",
+    "prob = 1 - geom.cdf(2, p)\n",
+    "\n",
+    "print(prob)"
    ]
   },
   {
@@ -107,11 +137,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.01289822084039205\n"
+     ]
+    }
+   ],
    "source": [
-    "#code here"
+    "from scipy.stats import poisson\n",
+    "\n",
+    "lam = 500\n",
+    "\n",
+    "# P(X > 550) = 1 - P(X ≤ 550)\n",
+    "prob = 1 - poisson.cdf(550, lam)\n",
+    "\n",
+    "print(prob)"
    ]
   },
   {
@@ -157,10 +202,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.3934693402873666\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "lam = 1/10\n",
+    "t = 5\n",
+    "\n",
+    "prob = 1 - np.exp(-lam * t)\n",
+    "\n",
+    "print(prob)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -173,10 +235,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.22313016014842982\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "lam = 1/10 \n",
+    "t = 15\n",
+    "\n",
+    "prob = np.exp(-lam * t)\n",
+    "\n",
+    "print(prob)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -196,11 +275,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.6826894921370859\n"
+     ]
+    }
+   ],
    "source": [
-    "#code here"
+    "from scipy.stats import norm\n",
+    "\n",
+    "mu = 150\n",
+    "sigma = 10\n",
+    "\n",
+    "prob = norm.cdf(160, mu, sigma) - norm.cdf(140, mu, sigma)\n",
+    "\n",
+    "print(prob)"
    ]
   },
   {
@@ -219,17 +313,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.4511883639059735\n"
+     ]
+    }
+   ],
    "source": [
-    "#code here"
+    "import numpy as np\n",
+    "\n",
+    "lam = 1/50 \n",
+    "t = 30\n",
+    "\n",
+    "prob = 1 - np.exp(-lam * t)\n",
+    "\n",
+    "print(prob)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -243,9 +359,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }