diff --git a/Solutions.ipynb b/Solutions.ipynb
index b3e2431..c17d7e8 100644
--- a/Solutions.ipynb
+++ b/Solutions.ipynb
@@ -1,5 +1,23 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "bbb8f6c1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import datetime\n",
+    "import warnings\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import math\n",
+    "from scipy.stats import ttest_ind\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "e00a11f1",
@@ -33,12 +51,21 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "39c6f717",
+   "cell_type": "raw",
+   "id": "0ca1325d",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "Honolulu Heart Study:\n",
+    "\n",
+    "--> the average systolic blood pressure is μ = 130.1 mm Hg\n",
+    "--> standard deviation of 21.21 mm Hg\n",
+    "\n",
+    "Regular population: the mean systolic blood pressure is μ = 120 mm Hg\n",
+    "\n",
+    "Hypothesis :\n",
+    "--> Ho: Systolic blood pressure, on average, not higher than regular population.\n",
+    "--> Ha: Systolic blood pressure, on average, higher than regular population."
+   ]
   },
   {
    "cell_type": "markdown",
@@ -49,12 +76,18 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b09ce149",
+   "cell_type": "raw",
+   "id": "c3ba3468",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "There are 5 main steps in hypothesis testing:\n",
+    "\n",
+    "1) State your research hypothesis as a null (Ho) and alternate (Ha) hypothesis.\n",
+    "2) Collect data in a way designed to test the hypothesis.\n",
+    "3) Perform an appropriate statistical test.\n",
+    "4) Decide whether the null hypothesis is supported or refuted.\n",
+    "5) Present the findings in your results and discussion section."
+   ]
   },
   {
    "cell_type": "markdown",
@@ -66,11 +99,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "97f73e20",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4.7619"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mean_population = 120\n",
+    "sample_mean = 130.1\n",
+    "stdev = 21.21\n",
+    "n = 100\n",
+    "\n",
+    "t = ((sample_mean - mean_population) / (stdev / math.sqrt(n)))\n",
+    "\n",
+    "round(t,5)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -97,7 +150,20 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.8"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
   }
  },
  "nbformat": 4,