Article View: sci.math.stat
Article #289Re: Testing for Normality
From: Herman Rubin
Date: Sun, 06 Sep 1992 13:44
Date: Sun, 06 Sep 1992 13:44
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1514 bytes
In article <1992Sep5.064647.15570@constellation.ecn.uoknor.edu> bateman@nsslsun.nssl.uoknor.edu (Monte Bateman) writes:
>I would like to test data for normality. The books I have
>access to talk about graphing frequencies on "probability paper".
>First off, I don't have any.
>Second, it seems that there should be software available
>to do this test.
>Pointers?
>Any/all help appreciated!
There is no shortage of tests for normality. One problem is that the
behavior of the test statistic, even the size, is generally not computable
except by simulation, even approximately. The problem is also to get a
reasonably good test against the most likely alternatives.
The Kolmogorov-Smirnov test with the parameters, assuming normality,
estimated from the data is not difficult to calculate. There are tables
of the significance levels.
--
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
Phone: (317)494-6054
hrubin@pop.stat.purdue.edu (Internet, bitnet)
{purdue,pur-ee}!pop.stat!hrubin(UUCP)
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Path: arc1-ca.pugleaf.net!sparky!uunet!gatech!purdue!mentor.cc.purdue.edu!pop.stat.purdue.edu!hrubin From: hrubin@pop.stat.purdue.edu (Herman Rubin) Newsgroups: sci.math.stat Subject: Re: Testing for Normality Message-ID: <Bu5suB.HxM@mentor.cc.purdue.edu> Date: 6 Sep 92 13:44:34 GMT References: <1992Sep5.064647.15570@constellation.ecn.uoknor.edu> Sender: news@mentor.cc.purdue.edu (USENET News) Organization: Purdue University Statistics Department Lines: 27