added reference

priyatharsan · priyatharsan · commit c8ae4b3fb848 · 2019-02-01T13:17:39.000-05:00
diff --git a/_posts/python/statistics/normality-test/2015-06-30-python-Normality-Test.html b/_posts/python/statistics/normality-test/2015-06-30-python-Normality-Test.html
@@ -648,6 +648,7 @@ <h4 id="Conclusion">Conclusion<a class="anchor-link" href="#Conclusion">&#182;</
 <li>In many situations, you can treat your data as though it is Gaussian and proceed with your chosen parametric statistical methods.</li>
 <li>A failure of one normality test means that your data is not normal. As simple as that.</li>
 </ul>
+<p><em>This tuorial is inspired from <a href="https://machinelearningmastery.com/a-gentle-introduction-to-normality-tests-in-python/">"A Gentle Introduction to Normality Tests"</a></em></p>
 
 </div>
 </div>
diff --git a/_posts/python/statistics/normality-test/python-Normality-Test.ipynb b/_posts/python/statistics/normality-test/python-Normality-Test.ipynb
@@ -558,12 +558,14 @@
     "   - Start looking into the use of nonparametric statistical methods instead of the parametric methods.\n",
     "   - If some of the methods suggest that the sample is Gaussian and some not, then perhaps take this as an indication that your data is Gaussian-like.\n",
     "   - In many situations, you can treat your data as though it is Gaussian and proceed with your chosen parametric statistical methods.\n",
-    "   - A failure of one normality test means that your data is not normal. As simple as that."
+    "   - A failure of one normality test means that your data is not normal. As simple as that.\n",
+    "   \n",
+    "_This tuorial is inspired from [\"A Gentle Introduction to Normality Tests\"](https://machinelearningmastery.com/a-gentle-introduction-to-normality-tests-in-python/)_"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -595,11 +597,11 @@
      "output_type": "stream",
      "text": [
       "Collecting git+https://github.com/plotly/publisher.git\n",
-      "  Cloning https://github.com/plotly/publisher.git to c:\\users\\thars\\appdata\\local\\temp\\pip-req-build-n7u5tlx4\n",
+      "  Cloning https://github.com/plotly/publisher.git to c:\\users\\thars\\appdata\\local\\temp\\pip-req-build-34pfz2w6\n",
       "Building wheels for collected packages: publisher\n",
       "  Running setup.py bdist_wheel for publisher: started\n",
       "  Running setup.py bdist_wheel for publisher: finished with status 'done'\n",
-      "  Stored in directory: C:\\Users\\thars\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-hmmc54q3\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
+      "  Stored in directory: C:\\Users\\thars\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-_sa5bntx\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
       "Successfully built publisher\n",
       "Installing collected packages: publisher\n",
       "  Found existing installation: publisher 0.13\n",
