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diff --git a/tutorials/module_4/linear_regression.md b/tutorials/module_4/linear_regression.md
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+# Linear Regression
+
+
+
+## Statical tools
+Numpy comes with some useful statistical tools that we can use to analyze our data.
+
+### Mean
+The mean is the average of a set of numbers. It is calculated by summing all the numbers and dividing by the count of numbers.
+
+```python
+import numpy as np
+
+mean = np.mean([1, 2, 3, 4, 5])
+median = np.median([1, 2, 3, 4, 5])
+std = np.std([1, 2, 3, 4, 5])
+variance = np.var([1, 2, 3, 4, 5])
+```
diff --git a/tutorials/module_4/notebook_4/plotting.ipynb b/tutorials/module_4/notebook_4/plotting.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plotting\n",
+    "\n",
+    "## matlibplot"
+   ],
+   "id": "c1faa4f4-55cb-4e59-a732-bada47ed2a19"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/tutorials/module_4/plotting.md b/tutorials/module_4/plotting.md
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+# Plotting
+
+## matlibplot