Re: Interpreting p-value = .99

2001-12-03 Thread Robert J. MacG. Dawson
Stan Brown wrote: I see why the quality controller would want to do a two-tailed test: the product should not be outside manufacturing parameters in either direction. (Presumably the QC person would be testing the pills themselves, not patients taking the pills.)

Re: Interpreting p-value = .99

2001-12-03 Thread Jerry Dallal
Robert J. MacG. Dawson wrote: But I don't see why either the advertiser or the consumer advocate would, or should, do a two-tailed test. The idea is that the product of these tests is a p-value to be used in support of an argument. The evidence for the proposal is not made any

Re: Interpreting p-value = .99

2001-12-03 Thread Stan Brown
Jerry Dallal [EMAIL PROTECTED] wrote in sci.stat.edu: Robert J. MacG. Dawson wrote: But I don't see why either the advertiser or the consumer advocate would, or should, do a two-tailed test. The idea is that the product of these tests is a p-value to be used in support of an

Re: Interpreting p-value = .99

2001-12-02 Thread Rich Ulrich
On Sat, 1 Dec 2001 08:20:45 -0500, [EMAIL PROTECTED] (Stan Brown) wrote: [cc'd to previous poster] Rich Ulrich [EMAIL PROTECTED] wrote in sci.stat.edu: I think I could not blame students for floundering about on this one. On Thu, 29 Nov 2001 14:39:35 -0500, [EMAIL PROTECTED] (Stan Brown)

Re: Interpreting p-value = .99

2001-12-01 Thread Stan Brown
[cc'd to previous poster] Rich Ulrich [EMAIL PROTECTED] wrote in sci.stat.edu: I think I could not blame students for floundering about on this one. On Thu, 29 Nov 2001 14:39:35 -0500, [EMAIL PROTECTED] (Stan Brown) wrote: The manufacturer of a patent medicine claims that it is 90%

Re: Interpreting p-value = .99

2001-12-01 Thread Stan Brown
[cc'd to previous poster; please follow up in newsgroup] Robert J. MacG. Dawson [EMAIL PROTECTED] wrote in sci.stat.edu: Stan Brown wrote: The manufacturer of a patent medicine claims that it is 90% effective(*) in relieving an allergy for a period of 8 hours. In a sample of 200 people who

Re: Interpreting p-value = .99

2001-11-30 Thread Robert J. MacG. Dawson
Stan Brown wrote: On a quiz, I set the following problem to my statistics class: The manufacturer of a patent medicine claims that it is 90% effective(*) in relieving an allergy for a period of 8 hours. In a sample of 200 people who had the allergy, the medicine provided relief for 170

Re: Interpreting p-value = .99

2001-11-30 Thread Rich Ulrich
I think I could not blame students for floundering about on this one. On Thu, 29 Nov 2001 14:39:35 -0500, [EMAIL PROTECTED] (Stan Brown) wrote: On a quiz, I set the following problem to my statistics class: The manufacturer of a patent medicine claims that it is 90% effective(*) in

Re: Interpreting p-value = .99

2001-11-30 Thread jim clark
Hi On Thu, 29 Nov 2001, Stan Brown wrote: But -- and in retrospect I should have seen it coming -- some students framed the hypotheses so that the alternative hypothesis was the drug is effective as claimed. They had Ho: p = .9; Ha: p .9; p-value = .9908. You might point out to

Re: Interpreting p-value = .99

2001-11-29 Thread Gus Gassmann
Stan Brown wrote: On a quiz, I set the following problem to my statistics class: The manufacturer of a patent medicine claims that it is 90% effective(*) in relieving an allergy for a period of 8 hours. In a sample of 200 people who had the allergy, the medicine provided relief for 170

Re: Interpreting p-value = .99

2001-11-29 Thread Dennis Roberts
forget the statement of the null build a CI ... perhaps 99% (which would correspond to your .01 sig. test) ... let that help to determine if the claim seems reasonable or not in this case ... p hat = .85 .. thus q hat = .15 stan error of a proportion (given SRS was done) is about stan error

Re: Interpreting p-value = .99

2001-11-29 Thread Alan McLean
Gus, Stan's two alternatives were correct as stated - they were two one sided tests, not a one sided and a two sided test. Stan, in practical terms, the conclusion 'fail to reject the null' is simply not true. You do in reality 'accept the null'. The catch is that this is, in the research