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- From: hrubin@pop.stat.purdue.edu (Herman Rubin)
- Newsgroups: sci.math.stat
- Subject: Inference Was: Re: Standard Deviation.
- Message-ID: <57249@mentor.cc.purdue.edu>
- Date: 19 Aug 92 14:57:26 GMT
- References: <c48nbgtf@csv.warwick.ac.uk> <WVENABLE.92Aug18180002@algona.stats.adelaide.edu.au> <1992Aug18.214711.6657@mailhost.ocs.mq.edu.au>
- Sender: news@mentor.cc.purdue.edu
- Organization: Purdue University Statistics Department
- Lines: 30
-
- In article <1992Aug18.214711.6657@mailhost.ocs.mq.edu.au> wskelly@laurel.ocs.mq.edu.au (William Skelly) writes:
- >In article <WVENABLE.92Aug18180002@algona.stats.adelaide.edu.au> wvenable@algona.stats.adelaide.edu.au (Bill Venables) writes:
-
- ...............
-
- >>In my opinion statistical inference is all about reliably capturing
- >>information from data (and elsewhere if you are a Bayesian); it's not
- >>really about coming up with a number from a data set that you can show will
- >>be "close" to an unknown parameter value, in some special sense of "close".
-
- >I am not sure I follow you. From my applications I only want to test
- >some null-hypothesis (perhaps a narrow application...but very useful!).
- >Generally I want to know if two samples are from the same population.
- >Isn't this just asking whether or not the two sample means are close?
-
- If you want the answer to whether two samples are independent samples
- from EXACTLY the same population, I need no data to tell you that the
- answer is no. If you want to know if two samples approximately have
- this property, and this is a very important problem, the answer may
- very well be yes. But it is necessary to balance the risks.
-
- In some cases, a good way to do this may be by looking at the closeness
- of the sample means, but in other cases, there may be much better ways.
- But how to look at them is much more complicated than you were led to
- believe.
- --
- 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)
-