corrected typo

Author: jyaistMap

samples/04_gis_analysts_data_scientists/calculating_cost_surfaces_using_weighted_overlay_analysis.ipynb

@@ -18,7 +18,7 @@
     "\n",
     "![](http://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-analyst-toolbox/GUID-D6D1FED1-18BA-4CFC-A056-498736B56C89-web.gif)\n",
     "\n",
-    "In the illustration, the two input rasters have been reclassified to a common measurement scale of 1 to 3. Each raster is assigned a percentage influence. The cell values are multiplied by their percentage influence, and the results are added together to create the output raster. For example, consider the upper left cell. The values for the two inputs become (2 \\* 0.75) = 1.5 and (3 \\* 0.25) = 0.75. The sum of 1.5 and 0.75 is 2.25. Because the output raster from Weighted Overlay is integer, the final value is rounded to 2. "
+    "In the illustration, the two input rasters have been reclassified to a common measurement scale of 1 to 3. Each raster is assigned a percentage influence. The cell values are multiplied by their percentage influence, and the results are added together to create the output raster. For example, consider the upper left cell. The values for the two inputs become (2 \\* 0.75) = 1.5 and (3 \\* 0.25) = 0.75. The sum of 1.5 and 0.75 is 2.25. Because the output raster from Weighted Overlay is integer, the final value is rounded to 2."
    ]
   },
   {
@@ -197,7 +197,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We choose the **State of Washington** as our study area for this example. We will query for the geometry of the state and set the spatial reference on the geometry."
+    "We choose the **State of Washington** as our study area for this example. We will query for the geometry and then set the spatial reference."
    ]
   },
   {