diff --git a/lab-intro-probability.ipynb b/lab-intro-probability.ipynb
index 5893fc1..12cc2d3 100644
--- a/lab-intro-probability.ipynb
+++ b/lab-intro-probability.ipynb
@@ -38,11 +38,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.8844772466215439)"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "#code here"
+    "from scipy.stats import binom\n",
+    "\n",
+    "n = 460\n",
+    "p = 0.03\n",
+    "\n",
+    "binom_dist= binom(n,p)\n",
+    "1- binom_dist.cdf(9)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Con una probabilidad del 88% de que 450 o menos pasajeros se presenten al vuelo (es decir, que al menos 10 falten), Ironhack Airlines puede continuar con su política de sobreventa de 460 tickets con un riesgo moderado-bajo de denegar embarque. Sin embargo, existe un riesgo del 12% de tener overbooking."
    ]
   },
   {
@@ -72,11 +96,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.49)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from scipy.stats import geom\n",
+    "\n",
+    "p = 0.3\n",
+    "geom_dist = geom(p)\n",
+    "1 -geom_dist.cdf(2)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "#code here"
+    "Existe una probabilidad de casi el 50% (49%) de que un agente necesite 3 o más intentos para resolver una incidencia."
    ]
   },
   {
@@ -107,11 +153,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.01289822084039205)"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "#code here"
+    "from scipy.stats import poisson\n",
+    "\n",
+    "mu = 500  \n",
+    "dist = poisson(mu)\n",
+    "1 - dist.cdf(550)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "La probabilidad de que el servidor se sature en una hora cualquiera es muy baja (1.3%). Esto indica que la capacidad actual de 550 visitas/hora es adecuada para el tráfico promedio de 500 visitas/hora."
    ]
   },
   {
@@ -123,11 +191,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.2677043869515715)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from scipy.stats import poisson\n",
+    "\n",
+    "mu = 500  \n",
+    "dist = poisson(mu)\n",
+    "prob_1h = dist.cdf(550)\n",
+    "1 - (prob_1h ** 24)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "#code here"
+    "La probabilidad acumulada de sufrir una saturación en algún momento del día es del 27%"
    ]
   },
   {
@@ -157,10 +248,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.3934693402873666)"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from scipy.stats import expon\n",
+    "\n",
+    "\n",
+    "lambda_value = 0.1\n",
+    "\n",
+    "lambda_inv = expon(scale = 1/lambda_value)\n",
+    "\n",
+    "lambda_inv.cdf(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "la probabilidad exponencial de que un cliente llege en los proximos 5 minutos el del 39 %"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -173,10 +291,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.2231301601484298)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from scipy.stats import expon\n",
+    "\n",
+    "\n",
+    "lambda_value = 0.1\n",
+    "\n",
+    "lambda_inv = expon(scale = 10)\n",
+    "\n",
+    "1 - lambda_inv.cdf(15)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "La probabilidad de que pasen 15 minustos sin que llegue ningun cliente es de l22%, y el empleado podria tomarse un descanso de 5 minutos"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -196,11 +341,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.6826894921370859)"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from scipy.stats import norm\n",
+    "\n",
+    "mean = 150\n",
+    "std = 10\n",
+    "\n",
+    "norm_dist = norm(loc = mean, scale = std)\n",
+    "norm_dist.cdf(160) - norm_dist.cdf(140)\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "#code here"
+    "La probabilidad de que pese entre 140 y 160 es de un 68 %"
    ]
   },
   {
@@ -219,17 +393,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.4511883639059735)"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "hour = expon(scale = 50)\n",
+    "\n",
+    "hour.cdf(30)\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "#code here"
+    "La probabilidad de que el componente electrico falle antes de las 30 primeras horas es de un 45"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -243,7 +443,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,