In article <000101c14787$f06dcf90$e10e6a81@PEDUCT225>, <[EMAIL PROTECTED]> wrote:
#No more than hypothesis tests necessarily tell you when the null #hypothesis #is false. Nothing is certain in statistics but uncertainty. In what way does a CI tell you where the parameter was (your word), if you can see just by looking at the data that it is impossible for the data to lie in the CI? Bill #Paul R. Swank, Ph.D. #Professor #Developmental Pediatrics #UT Houston Health Science Center # #-----Original Message----- #From: [EMAIL PROTECTED] #[mailto:[EMAIL PROTECTED]]On Behalf Of Bill Jefferys #Sent: Thursday, September 27, 2001 11:31 AM #To: [EMAIL PROTECTED] #Subject: Re: Confidence intervals # # #In article <008201c14763$9392f260$e10e6a81@PEDUCT225>, #<[EMAIL PROTECTED]> wrote: # ##I use to find that students respoded well to the idea that the hypothesis ##test told you, within the limits of likelihood set, where the parameter ##wasn't while confidence intervals told you where the parameter was. # #But confidence intervals do not necessarily tell you where the parameter #was. Jaynes gives an example of a 90% confidence interval, such that you #can see from the data that it is certain that the parameter does NOT lie #in the interval in question. Tom Loredo gives essentially the same #example in # # http://bayes.wustl.edu/gregory/articles.pdf # http://bayes.wustl.edu/gregory/articles.ps.gz # -- Bill Jefferys/Department of Astronomy/University of Texas/Austin, TX 78712 Email: replace 'warthog' with 'clyde' | Homepage: quasar.as.utexas.edu I report spammers to [EMAIL PROTECTED] Finger for PGP Key: F7 11 FB 82 C6 21 D8 95 2E BD F7 6E 99 89 E1 82 Unlawful to use this email address for unsolicited ads: USC Title 47 Sec 227 ================================================================= Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =================================================================
