No it's an outlier problem, I think. If you have a fairly small number of sets of these numbers simple visual inspection of a boxplot for each set would probably acomplish what you want.
Try this in R for an example. Just paste the next two lines into R xx <- c(1, 1, 2, 10, 100, 10,1) boxplot(xx) After this it gets more complicated, but it you're new here let's take it one step at a time John Kane Kingston ON Canada > -----Original Message----- > From: suranga...@gmail.com > Sent: Thu, 1 Mar 2012 09:30:59 -0800 > To: r-help@r-project.org > Subject: [R] Standard variance / devistion clarification > > Dear gurus, > > Im a newbie, and I want to ask a very general question. > Assume that I have a set of numbers as follows, > > 1, 1, 2, 10, 100, 10,1 > > >From these, I need to identify which number is the most different as > compared to others. (in this case, it will be 100, since its way larger > than the other numbers). It doesnt have to be specifically this way, but > I > need to identify which number(s) are most different compared to the > others. > > Any idea as to what I need to do this ? Im a math noob, so I'm also going > to need to ask it this is called 'standard deviation' or 'variance' :-) > > -- > Best Regards, > > Suranga > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ____________________________________________________________ Send your photos by email in seconds... TRY FREE IM TOOLPACK at http://www.imtoolpack.com/default.aspx?rc=if3 Works in all emails, instant messengers, blogs, forums and social networks. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
