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diff --git a/Water_and_Wastewater_Engineering_by_G_M_Fair/4-Information_analysis.ipynb b/Water_and_Wastewater_Engineering_by_G_M_Fair/4-Information_analysis.ipynb
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+{
+"cells": [
+ {
+		   "cell_type": "markdown",
+	   "metadata": {},
+	   "source": [
+       "# Chapter 4: Information analysis"
+	   ]
+	},
+{
+		   "cell_type": "markdown",
+		   "metadata": {},
+		   "source": [
+			"## Example 4.1: Example_1.sce"
+		   ]
+		  },
+  {
+"cell_type": "code",
+	   "execution_count": null,
+	   "metadata": {
+	    "collapsed": true
+	   },
+	   "outputs": [],
+"source": [
+"clc\n",
+"//initialisation of variables\n",
+"y=19.5//in\n",
+"x=396.8//in\n",
+"n=6//in\n",
+"y1=2.20//in\n",
+"x1=51.14//in\n",
+"p=5.64//in\n",
+"//CALCULATIONS\n",
+"Beta=(x-n*(y)*(y1))/(x1-n*(y1)^2)\n",
+"X=p+Beta//minimum\n",
+"//RESULTS\n",
+"printf('the method of leate squares =% f minimum',X)"
+   ]
+   }
+,
+{
+		   "cell_type": "markdown",
+		   "metadata": {},
+		   "source": [
+			"## Example 4.3: Example_2.sce"
+		   ]
+		  },
+  {
+"cell_type": "code",
+	   "execution_count": null,
+	   "metadata": {
+	    "collapsed": true
+	   },
+	   "outputs": [],
+"source": [
+"clc\n",
+"//initialisation of variables\n",
+"a=12//in\n",
+"h=121//in\n",
+"p=11//in\n",
+"s=220//in\n",
+"//CALCULATIONS\n",
+"B={a/[p*(h-1)]}*s//per unit\n",
+"//RESULTS\n",
+"printf('the interval of time a noted before=% f per unit',B)"
+   ]
+   }
+,
+{
+		   "cell_type": "markdown",
+		   "metadata": {},
+		   "source": [
+			"## Example 4.5: Example_3.sce"
+		   ]
+		  },
+  {
+"cell_type": "code",
+	   "execution_count": null,
+	   "metadata": {
+	    "collapsed": true
+	   },
+	   "outputs": [],
+"source": [
+"clc\n",
+"//initialisation of variables\n",
+"a=4404//ft\n",
+"q=9//ft\n",
+"mu=12//ft\n",
+"//CALCULATIONS\n",
+"F=sqrt(a/q)//ft\n",
+"CF=F/mu*100//percent\n",
+"//RESULTS\n",
+"printf('the coefficient of fluctuation is =% f percent',CF)"
+   ]
+   }
+,
+{
+		   "cell_type": "markdown",
+		   "metadata": {},
+		   "source": [
+			"## Example 4.7: Example_4.sce"
+		   ]
+		  },
+  {
+"cell_type": "code",
+	   "execution_count": null,
+	   "metadata": {
+	    "collapsed": true
+	   },
+	   "outputs": [],
+"source": [
+"clc\n",
+"//initialisation of variables\n",
+"h2=5//in\n",
+"x=3.72//in\n",
+"x1=1.28//in\n",
+"//CALCULATIONS\n",
+"H=h2*x1/x//in\n",
+"//RESULTS\n",
+"printf('the either side of the center of the scale=% f in',H)"
+   ]
+   }
+,
+{
+		   "cell_type": "markdown",
+		   "metadata": {},
+		   "source": [
+			"## Example 4.8: Example_5.sce"
+		   ]
+		  },
+  {
+"cell_type": "code",
+	   "execution_count": null,
+	   "metadata": {
+	    "collapsed": true
+	   },
+	   "outputs": [],
+"source": [
+"clc\n",
+"//initialisation of variables\n",
+"p=80//in\n",
+"q=20//in\n",
+"//CALCULATIONS\n",
+"K=p+q//ft\n",
+"//RESULTS\n",
+"printf('the moments of the arithmetically normal frequency curve=% f ft',K)"
+   ]
+   }
+,
+{
+		   "cell_type": "markdown",
+		   "metadata": {},
+		   "source": [
+			"## Example 4.9: Example_6.sce"
+		   ]
+		  },
+  {
+"cell_type": "code",
+	   "execution_count": null,
+	   "metadata": {
+	    "collapsed": true
+	   },
+	   "outputs": [],
+"source": [
+"clc\n",
+"//initialisation of variables\n",
+"g=3.2541//in\n",
+"g1=3.46//in\n",
+"m=0.5390//ft\n",
+"h=2/99//ft\n",
+"p=1.52//ft\n",
+"//CALCULATIONS\n",
+"L=sqrt(g*h)//in\n",
+"mu=g1*p//in\n",
+"M=g1/p//percent\n",
+"//RESULTS\n",
+"printf('the points necessary to plot the straigt line of fit on log probability=% f percent',M)"
+   ]
+   }
+],
+"metadata": {
+		  "kernelspec": {
+		   "display_name": "Scilab",
+		   "language": "scilab",
+		   "name": "scilab"
+		  },
+		  "language_info": {
+		   "file_extension": ".sce",
+		   "help_links": [
+			{
+			 "text": "MetaKernel Magics",
+			 "url": "https://github.com/calysto/metakernel/blob/master/metakernel/magics/README.md"
+			}
+		   ],
+		   "mimetype": "text/x-octave",
+		   "name": "scilab",
+		   "version": "0.7.1"
+		  }
+		 },
+		 "nbformat": 4,
+		 "nbformat_minor": 0
+}