```Date: Fri, 30 Jun 2006 15:37:06 -0700 Reply-To: John Horne Sender: "SAS(r) Discussion" From: John Horne Subject: Re: probnorm for pdf of standard normal distribution? Content-Type: text/plain; charset="US-ASCII" Use the pdf function: pdf('normal',0); probit(0.5); probnorm(0); cdf('normal',0); The last two are the same and return 0.5 in this case (i.e., the probability that a value is greater than this score in a normal distribution having a mean of 1 and a standard deviation of zero). The first is the pdf of the standard normal(i.e., 0.4). The second is the probit or normal inverse function and returns the inverse of the standard normal (i.e., the value of the random variable at this probability). In this case, it resolves to zero. The first two are not equivalent because one is a pdf and takes the value of the random variable as argument while the second is an inverse function and takes the probability associated with the random variable as argument. I prefer the cdf & pdf functions because you can enter the mean and standard deviation of the normal distribution if you're dealing with a normal that is not standard normal. Cheers! -----Original Message----- From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of sportsfun77@HOTMAIL.COM Sent: Friday, June 30, 2006 2:11 PM To: SAS-L@LISTSERV.UGA.EDU Subject: probnorm for pdf of standard normal distribution? I have a stupid question to ask: I know people use probnorm to compute N( ), which is cdf of standard normal distribution. Can we use the probnorm to compute N'( ), which is the pdf of standard normal distribution? If not, what else should we use? Thanks a lot for your help! ```

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