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From |
Steven Samuels <sjhsamuels@earthlink.net> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Re: Confidence Interval vs Confidence in Judgement |

Date |
Fri, 10 Oct 2008 20:07:19 -0400 |

"the smaller the t-value,the smaller is the confidence interval"

foreach p of numlist .7 .8 .9 .95 .99 {

3. } Confidence Level = 70. Multiplier = 1.0472949 Confidence Level = 80. Multiplier = 1.2987137 Confidence Level = 90. Multiplier = 1.675905 Confidence Level = 95. Multiplier = 2.0085591 Confidence Level = 99. Multiplier = 2.6777933

-Steve On Oct 10, 2008, at 5:13 PM, Victor M. Zammit wrote:

The statement that I use to compute my confidence interval is theusualttest, ie the difference between the mean of the random sample andthe meanof the population, multiplied by the square root of the sample sizeand theproduct is divided by the standard deviation of the randomsample.Becausethe result is normalised,you could infer from it the confidenceinterval,forthe particular degree of freedom.The problem that I am having is that the smaller the t-value,thesmaller isthe confidence interval,but the higher is the confidence in yourjudgementcall (claim),which seems to be counter-intuitive for me. Victor M. Zammit-- Original Message -----From: "Steven Samuels" <sjhsamuels@earthlink.net>To: <statalist@hsphsun2.harvard.edu> Sent: Friday, October 10, 2008 6:20 PM Subject: Re: st: Re: Confidence Interval vs Confidence in JudgementVictor, show us the statements that you are using to compute your confidence interval. -Steve On Oct 10, 2008, at 12:11 PM, Victor M. Zammit wrote:Dear Stata users, I am reproducing a t-table,for degrees of freedom, from 1 to 30,and aftertaking 40,000 random samples of obs.,from 2 to 31,each timefrom aninfinite normally distributed population ,and repeated the whole process for 10 times,my ttable has converged pretty much to that of Fisher and Yates. The program is very simple and I would be very glad to reproduce it to any one interested. But having established the various confidence intervals associated with the t-values for the degrees of freedom indicates above,I am finding it counter-intuitive, that the closer the t-value is to 0,and hence the closer you are to being correct in your judgement,the smaller the resultingconfidence interval.Obviously,I am confusing high confidence withwideconfidence interval. I would like to know of other terminology that would make the concept less counter-intuitive. I thank you in advance, Victor M. Zammit * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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**References**:**st: Re: merging 2 data sets and matching the observations***From:*Kit Baum <baum@bc.edu>

**st: Re: Confidence Interval vs Confidence in Judgement***From:*"Victor M. Zammit" <vmz@vol.net.mt>

**Re: st: Re: Confidence Interval vs Confidence in Judgement***From:*Steven Samuels <sjhsamuels@earthlink.net>

**Re: st: Re: Confidence Interval vs Confidence in Judgement***From:*"Victor M. Zammit" <vmz@vol.net.mt>

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