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- Path: sparky!uunet!cs.utexas.edu!rutgers!att!cbfsb!cbnewsf.cb.att.com!rizzo
- From: rizzo@cbnewsf.cb.att.com (anthony.r.rizzo)
- Newsgroups: sci.math.stat
- Subject: Re: Inference
- Message-ID: <1992Aug20.141807.2130@cbfsb.cb.att.com>
- Date: 20 Aug 92 14:18:07 GMT
- References: <WVENABLE.92Aug18180002@algona.stats.adelaide.edu.au> <1992Aug18.214711.6657@mailhost.ocs.mq.edu.au> <1992Aug19.124712.305@ginger.hnrc.tufts.edu>
- Sender: news@cbfsb.cb.att.com
- Organization: AT&T
- Lines: 28
-
- In article <1992Aug19.124712.305@ginger.hnrc.tufts.edu> jerry@ginger.hnrc.tufts.edu (Jerry Dallal) writes:
- >In article <1992Aug18.214711.6657@mailhost.ocs.mq.edu.au>, wskelly@laurel.ocs.mq.edu.au (William Skelly) writes:
- >> 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?
- >>
- >
- >Heck, *NO*!!!
- >
- >Suppose you have two safety devices. Both are inexpensve to manufacture,
- >install, and replace, compared to the consequences of their failure.
- >One has failure times that follow a
- >normal distribution with a mean of 10 years and a standard deviation of 1 day.
- >The other has failure times that follow a
- >normal distribution with a mean of 10 years and a standard deviation of
- >3 years. I hope you wouldn't be indifferent in choosing a
- >device to use when your test of significance fails to reject the null
- >hypothesis of equal population means.
-
- Thank you very much for this TRULY FINE example and explanation!
- I just finished reading about sample characteristicts versus
- population characteristics; I understood the material; but the cement
- hadn't quite cured yet. Thanks to your example, the material is now
- fully cured and safe for use. ;-)
-
- Tony Rizzo There's no shortage of engineers.
- att.com!homxc!rizzo There's only a shortage of engineering.
-