Online Sources for Statistics and Statistical Analysis

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Discussion Overview

The discussion centers on various online resources for statistics and statistical analysis, including textbooks, methodologies, and data sources. The scope includes theoretical concepts, practical applications, and experimental methodologies relevant to statistics.

Discussion Character

  • Exploratory
  • Technical explanation

Main Points Raised

  • One participant shares links to the StatSoft Electronic Textbook and its sections on basic statistics, suggesting it as a comprehensive resource.
  • Another participant references "The Analysis of Observations with applications in atmospheric science," highlighting its focus on experimental research methodology and data analysis techniques, while noting its practical emphasis over formal mathematical justification.
  • A third participant points to Mathworld's page on Gaussian or Normal Distribution as a useful resource for understanding this statistical concept.
  • Another participant provides links to extensive statistical tables from the US Census and Chinese statistics, indicating their potential utility for data analysis.

Areas of Agreement / Disagreement

Participants present a variety of resources without indicating any consensus on the best or most useful sources. Multiple perspectives on the applicability and focus of the resources remain evident.

Contextual Notes

Some resources emphasize practical applications over theoretical foundations, which may limit their usefulness for those seeking rigorous mathematical justifications. The discussion does not resolve the appropriateness of each resource for different statistical needs.

Physics news on Phys.org
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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