Well, I guess to be fair we have to remember that Gosset originally used z instead of t for his formulas in 1908. It was later that Fisher came along and changed Gosset's z to t (and added the df concept in I believe) because he wanted to use z for something else... I believe it was Gosset though that, when introducing the concept of his z (now t) in 1908 referred to it as the difference between a sample mean and the population mean divided by the standard deviation of the sample, so that z was a measure in terms of standard deviations (of the sample)... it could be that Fisher took this concept and made z equal the mean difference divided by the SD of the population instead of the SD of the sample while at the same time arbitrarily renaming Gosset's z to t and changing it to be divided by the DF instead of just the sample size. There was a "feud" between Fisher and Pearson, whom Gosset thanks a lot in his work, so it easily could be that Fisher chose to use z just to irritate Pearson and Gosset... though he might have given a reason somewhere later. I haven't had a chance to go back and re-read everything related to this to figure out the exact details, but most of these original works are available on-the web, just not all in one spot... I'm not sure what it says about me that I find the history of statistics so interesting...

- Marc

PS- For others who are (or might be) interested in the history of statistics , I do recommend "The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century" by Salsburg if you haven't read it already... and I welcome other recommendations people might have on the topic :)


At 06:10 PM 10/3/2007, you wrote:
In that case, since Fisher didn't bother to enlighten us as to the meaning of z, I have a perfectly logical (which, in all things etymological, is synonymous with "wrong") explanation you can feel free to hand out to anyone who asks (please don't give me credit). It is called the z-distribution, short for the "zero distribution", since 0 is the mean, median and mode of the distribution. This explanation has the advantage of being face valid and, evidently, unless deeper research finds additional information, irrefutable.


=============================================
G. Marc Turner, PhD, MEd, Network+, MCP
Senior Lecturer & Technology Coordinator
Department of Psychology
Texas State University-San Marcos
San Marcos, TX  78666
phone: (512)245-2526
email: [EMAIL PROTECTED]

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