Re: Distribution Free Tolerance Limits
Chebycheff's Inequality redivivus! Tables of the tolerance factors may be found in the following two venerable texts. (They can also be calculated from the inequality with a number of numerical analysis packages for the Mac or the PC) Engineering Statistics, 2nd Edition; Bowker and Lieberman, Prentice Hall Introduction to Statistical Analysis, 4th Edition, Dixon and Massey, McGraw Hill (I beg a dollop of forgiveness if there exist later editions of the cited works but these are the ones gathering dust on my bookshelves.) N.B. I seem to recall that this inequality is valid only for unimodal distributions. I leave it to wiser heads on this list to confirm or deny this recollection. Frank Frank Isackson re:SOLUTIONS 1724 S. Encino Avenue Monrovia, CA 91016 USA 626 574 7518 (voice) 626 574 7556 (fax/data) [EMAIL PROTECTED] [EMAIL PROTECTED] === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Newbie Question
Hi! I just discovered the newsgroups sci.stat.consult, sci.stat.edu, and sci.stat.math, and I was wondering, which group covers which topics. Are there any FAQs for any of these groups? What is on, what is off topic? TIA, -- Manni === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Re: Newbie Question
On Fri, 19 May 2000 08:26:46 GMT, [EMAIL PROTECTED] (Manni Heumann) wrote: Hi! I just discovered the newsgroups sci.stat.consult, sci.stat.edu, and sci.stat.math, and I was wondering, which group covers which topics. Are there any FAQs for any of these groups? What is on, what is off topic? Steve Simon put together an FAQ on technical matters about groups and mail lists -- since stat-l/sci.stat.consult exists that way. And so does sci.stat.edu, separately. I don't know how well those connections are still working, but there have been some problems in the past, where messages showing one place don't get posted to the other. The FAQ says it was last modified in August, 1999. (Is its address for JOINING still correct?) It is a good thing to read, especially if you are new to Groups or Lists. He includes list of Mail-lists. from the site This FAQ is posted once a month to STAT-L/SCI.STAT.CONSULT. The FAQ now has two home pages: http://www-personal.umich.edu/~dronis/statfaq.htm and http://www.cmh.edu/stats/faq/faq.htm. =end of cite. Separately -- I have a stats-FAQ which includes statistical questions from those three groups or from the SPSS group. Much of it is in the form of posts-and-responses (many of them, my own responses). My coverage is better for "biostatistics" than for some other questions, such as lotteries or pure math functions -- where I know less and care less. I kept most of the separate issues in small files, so there are 80+ pieces in all (my apologies, to those who want the whole thing at once). I also include links to other people, and other resources, and other FAQs. My last major overhaul of the site was in December, 1998. I suspect that my next version will abandon some of the post/response format. -- Rich Ulrich, [EMAIL PROTECTED] http://www.pitt.edu/~wpilib/index.html === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Regression and Correlation (Was Correlation)
I am no statistician, so let me make sure I am understanding what you are saying. Your point is that you may have an identical regression equation despite the fact that the correlation may vary depending on the amount of variation in X. If this is your point, I agree and recognize this--r is a measure of the fit about the regression line. Nonetheless, regression and correlation are the same in the bivariate case with the exception of scale. In a bivariate regression, the standardized Beta coefficient is equal to the Pearson r. As with any standardization, it removes the scale of the variation and the result is that the slope describes the relationship or B = r. Brett -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]] Sent: Friday, May 19, 2000 11:43 AM To: [EMAIL PROTECTED] Subject: Re: Correlation Magill, Brett [EMAIL PROTECTED] wrote: Mike, In the bivariate case, regression and correlation are identical. This is false. Correlation is the measure of the proportion of the variance of one variable explained by a linear function of the other in a joint distribution, while linear regression is the linear relation itself. One can have non-linear versions as well. If in fact E(Y|X) = aX + b, this will also be the case no matter how selection is made on X, whereas the correlation can vary greatly. === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
