removed the contradicting points

Author: priyatharsan

_posts/python/statistics/normality-test/2015-06-30-python-Normality-Test.html

@@ -621,8 +621,6 @@ <h4 id="Conclusion">Conclusion<a class="anchor-link" href="#Conclusion">&#182;</
 <li>Investigate why your data is not normal and perhaps use data preparation techniques to normalize the data.</li>
 <li>Start looking into the use of nonparametric statistical methods instead of the parametric methods.</li>
 <li>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.</li>
-<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>
 

_posts/python/statistics/normality-test/python-Normality-Test.ipynb

@@ -557,15 +557,13 @@
     "   - Investigate why your data is not normal and perhaps use data preparation techniques to normalize the data.\n",
     "   - 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.\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": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -597,11 +595,11 @@
      "output_type": "stream",
      "text": [
       "Collecting git+https://github.com/plotly/publisher.git\n",
-      "  Cloning https://github.com/plotly/publisher.git to c:\\users\\priyat~1\\appdata\\local\\temp\\pip-req-build-z7imf2x6\n",
+      "  Cloning https://github.com/plotly/publisher.git to c:\\users\\priyat~1\\appdata\\local\\temp\\pip-req-build-w9y_giaw\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\\PRIYAT~1\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-s6q9h6yd\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
+      "  Stored in directory: C:\\Users\\PRIYAT~1\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-q_rnxevg\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
       "Successfully built publisher\n",
       "Installing collected packages: publisher\n",
       "  Found existing installation: publisher 0.13\n",
@@ -614,10 +612,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Anaconda\\Anaconda3\\lib\\site-packages\\IPython\\nbconvert.py:13: ShimWarning:\n",
-      "\n",
-      "The `IPython.nbconvert` package has been deprecated since IPython 4.0. You should import from nbconvert instead.\n",
-      "\n",
       "C:\\Anaconda\\Anaconda3\\lib\\site-packages\\publisher\\publisher.py:53: UserWarning:\n",
       "\n",
       "Did you \"Save\" this notebook before running this command? Remember to save, always save.\n",