From pycyn@aol.com Tue Nov 13 11:46:05 2001 Return-Path: X-Sender: Pycyn@aol.com X-Apparently-To: lojban@yahoogroups.com Received: (EGP: mail-8_0_0_1); 13 Nov 2001 19:46:04 -0000 Received: (qmail 14667 invoked from network); 13 Nov 2001 19:46:04 -0000 Received: from unknown (216.115.97.172) by m10.grp.snv.yahoo.com with QMQP; 13 Nov 2001 19:46:04 -0000 Received: from unknown (HELO imo-m09.mx.aol.com) (64.12.136.164) by mta2.grp.snv.yahoo.com with SMTP; 13 Nov 2001 19:46:05 -0000 Received: from Pycyn@aol.com by imo-m09.mx.aol.com (mail_out_v31_r1.8.) id r.fb.1cc83a25 (17380) for ; Tue, 13 Nov 2001 14:45:51 -0500 (EST) Message-ID: Date: Tue, 13 Nov 2001 14:45:50 EST Subject: Re: [lojban] normal vs average To: lojban@yahoogroups.com MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="part1_fb.1cc83a25.2922d26e_boundary" X-Mailer: AOL 6.0 for Windows US sub 10535 From: pycyn@aol.com X-Yahoo-Profile: kaliputra --part1_fb.1cc83a25.2922d26e_boundary Content-Type: text/plain; charset="US-ASCII" Content-Transfer-Encoding: 7bit In a message dated 11/13/2001 11:58:05 AM Central Standard Time, arosta@uclan.ac.uk writes: > And which is fadni? > > >>> cmeclax@gmx.co.uk 11/13/01 02:16pm >>> > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > How do we distinguish normal (as opposed to abnormal, which indicates > something's wrong) from average (mean, median, mode)? Which is cnano? My > average reliability figures, because of floods, have recently been quite > abnormal! > > Well, now that that is decided -- {cnano} for empirical/statistical notions and {fadni} for (dare I say it) normative ones -- what is the next question? How to tell mean from median from mode from....? And which one gets (pace &) {lo'e}? --part1_fb.1cc83a25.2922d26e_boundary Content-Type: text/html; charset="US-ASCII" Content-Transfer-Encoding: 7bit In a message dated 11/13/2001 11:58:05 AM Central Standard Time, arosta@uclan.ac.uk writes:


And which is fadni?

>>> cmeclax@gmx.co.uk 11/13/01 02:16pm >>>
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1

How do we distinguish normal (as opposed to abnormal, which indicates
something's wrong) from average (mean, median, mode)? Which is cnano? My
average reliability figures, because of floods, have recently been quite
abnormal!

cmeclax


Well, now that that is decided -- {cnano} for empirical/statistical notions and {fadni} for (dare I say it) normative ones -- what is the next question?  How to tell mean from median from mode from....?  And which one gets (pace &) {lo'e}? --part1_fb.1cc83a25.2922d26e_boundary--