Re: Dimensions of my flat spiral coil - Math books

["Tesla list" <tesla-at-pupman-dot-com>]

Original poster: "by way of Terry Fritz <twftesla-at-qwest-dot-net>" <Mddeming-at-aol-dot-com>

In a message dated 2/17/02 11:09:21 AM Eastern Standard Time, tesla-at-pupman-dot-com
writes:



>
> >Does the spec sheet give any data on whether that is a 2 sigma uncertainty
> (often the case when not otherwise specified...  if error is gaussian, then
> it's roughly a 95% confidence interval)?
>
> Not that I can see.  Where can I quickly learn about sigma and epsilon?
> I've been seeing these terms a lot lately and I have no clue what they mean.


Hi, 
Introductory texts on Calculus, Error Theory, and Statistical theory. There is
no easy, softer way, but a few of the easier books are:

"Statistics Made Simple" by H.T. Hayslett 
"Introduction to Error Analysis" by J.R.Taylor
"Precalculus Mathematics" by Groza and Shelley
"Fundamental Statistics of Psychologists"  by R.B.McCall
"Practical Calculus" for the Social and Managerial Sciences" by L.D.Hoffmann

For a more rigorous treatment of the concepts you could try:

" Introduction to the Theory of Error" by Yardley Beers
"Analysis of Physical Measurements" by Pugh & Winslow
"Interpretation of Technical Data" by J.W.Richards
"Calculus and Analytic Geometry"  by Fisher & Ziebur
"Introduction to Probability and Statistics" by E.J.Dudewicz
"An Introduction to Analysis" by D. Salz

For the truly masochistic geek-types there are:

"Introduction to Calculus and Analysis" by Courant and John
" Mathematical Statistics", by J.E.Freund
"Advance Engineering Mathematics" by C.Ray Wiley
"Advance Engineering Mathematics"  by D.G.Duffy
" Numerical Methods of Statistics" by J.F.Monahan

JHope some of this helps,

Matt D.
Level-3 Masochistic Geek #1085