![\"\"](\"http://www.mathskey.com/userfiles/image/steps_images/step1.JPG\")
The total area under both the normal and standard distrubutions is equal to ![\"\"](\"http://www.mathskey.com/test/fckeditor/editor/plugins/fckeditor_wiris/integration/showimage.php?formula=d19ea8dec317fbe5a411fa4b88fab0db.png\")
.
The both curves are continuous and symmetric with respect to the mean value.
\The standard distribution has a mean of and a standard deviation of ![\"\"](\"http://www.mathskey.com/test/fckeditor/editor/plugins/fckeditor_wiris/integration/showimage.php?formula=fcd348ebf66f4047fc23f05f2c058874.png\")
.
The mean and standard deviation of normal distribution could be any value.
\The both curves approaches and never touches the ![\"\"](\"http://www.mathskey.com/test/fckeditor/editor/plugins/fckeditor_wiris/integration/showimage.php?formula=8da2268e35b6b6daab9c47f71c4c8bf4.png\")
-axis.
![\"\"](\"http://www.mathskey.com/userfiles/image/steps_images/solution.JPG\")
The total area under both the normal and standard distrubutions is equal to .
The both curves are continuous and symmetric with respect to the mean value.
\The standard distribution has a mean of and a standard deviation of .
The mean and standard deviation of normal distribution could be any value.
\The both curves approaches and never touches the -axis.