Fred,
Go to: Help/Indexes/JSL Operators/Normal Density
That will show you the following example:
New Window( "Example:
Normal Density",
y =
Graph Box(
Y Scale( 0, 0.45 ),
X Scale( -4, 4 ),
XName( "q" ),
Pen Color( "red" );
Y Function(
Normal Density( q ),
q
);
)
);
Running the example will show you the “standard”
normal density function (standard è mean=0; standard
deviation=1). To generate the normal density curve for a given mean “m”
and standard deviation “sd” use:
(Normal Density((q-m)/sd)
For example, given m=100 and sd=5 the above example will be:
New Window( "Example:
Normal Density",
y =
Graph Box(
Y Scale( 0, 0.45 ),
X Scale( 80, 120 ),
XName( "q" ),
Pen Color( "red" );
Y Function(
Normal Density( (q-100)/5 ),
q
);
)
);
Note the necessity of adjusting the x-axis scale with: X
Scale(80,120).
Also, the Normal Density function is discussed in Appendix C (Formula
Functions Reference) of the Users Guide under the section Probability Fuctions/Normal
Density.
Regards,
Steve Magie
From: Fred Zhang
[mailto:ieaggie2009@gmail.com]
Sent: Tuesday, February 10, 2009 12:10 PM
To: jmp-l@lists.biostat.wustl.edu
Subject: [jmp-l] How to plot a normal curve by "Normal
Density" function in JSL?
Hi, I want to plot a nornal curve given a set of data by
also pre-define the sigma and mean values.
How to use the function "Normal Density()"?
What's the arguments?
I could not find the details in JMP Help, which seems sucks in looking
some JSL functions.
Anyone can help me out?
Fred