Online Sources for Statistics and Statistical Analysis

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The Analysis of Observations with applications in atmospheric science
http://www.asp.ucar.edu/colloquium/1992/notes/part1/node1.html

William A. Cooper

with chapters by:

Thomas W. Schlatter
Tzvi Gal-Chen and David B. Parsons

1.1 Scope
This course surveys the methodology and tools of experimental research in atmospheric science. This volume, Part 1, treats topics that are general and applicable to most experimental science: how to interpret measurements, test hypotheses, and design experiments. The focus is on the analysis of experimental data, with lesser attention to the design of experiments. Analysis techniques will be treated first, and design of experiments toward the end of the text, because experimental design must take into account the possible ways in which the data can be used.

Most of this material in Part 1 is presented in a format resembling a user's handbook, with corresponding weaknesses in the mathematical justifications and foundations. Some references to the extensive literature on these subjects are included to fill these gaps, but the target audience is those who will use these methods in experimental research so their practical needs are emphasized. This choice has led to a primary emphasis on techniques and methods, in many cases with only enough formal justification to provide a sense of the validity and applicability of the methods described.
 
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Statistics: US Census and CHINA stats

Look:

1700 tables
http://www.allcountries.org/uscensus/"

700 tables
http://www.allcountries.org/china_statistics/"
 
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Hi all, I've been a roulette player for more than 10 years (although I took time off here and there) and it's only now that I'm trying to understand the physics of the game. Basically my strategy in roulette is to divide the wheel roughly into two halves (let's call them A and B). My theory is that in roulette there will invariably be variance. In other words, if A comes up 5 times in a row, B will be due to come up soon. However I have been proven wrong many times, and I have seen some...
Thread 'Detail of Diagonalization Lemma'
The following is more or less taken from page 6 of C. Smorynski's "Self-Reference and Modal Logic". (Springer, 1985) (I couldn't get raised brackets to indicate codification (Gödel numbering), so I use a box. The overline is assigning a name. The detail I would like clarification on is in the second step in the last line, where we have an m-overlined, and we substitute the expression for m. Are we saying that the name of a coded term is the same as the coded term? Thanks in advance.

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