Data Analysis and Graphing

Software for Statistics 

A variety of software for statistical data analysis is commercially available. This software ranges widely in capacity, functionality, and price. A few examples include:

• http://www.analyse-it.com/: Analyse-it^® is statistical analysis add-in software for Microsoft Excel. Analyse-it includes 14 parametric and 17 non-parametric statistical functions including multiple linear regression analysis, ANOVA, and chi-square statistics.

• http://www.spssscience.com/sigmastat/: SigmaStat^® is an example of a full function, self-contained data analysis package, including "expert system" type support for working through statistical analyses.

• http://www.texasoft.com/: Another self-contained data analysis package, but simpler to use and less expensive than most. 

• http://www.texasoft.com/compare_prices.htm: Current prices of various data analysis software. 

• http://www.xlstat.com: XLSTAT, data analysis and statistical solutions for MS Excel. Developed by Addinsoft. USA: 20 Jay Street, Suite 1003, Brooklyn, NY 11201, Tel: (718) 237 0450, Fax: (718) 222 8157. France: 40 rue Damremont, 75018 PARIS, Tel: +33 (0) 1 47 66 43 24, Fax: +33 (0) 1 40 54 91 61.

Methods for Statistics

• http://www.graphpad.com/welcome.htm: A data analysis and biostatistics resource.
• http://www.mastep.sjsu.edu/learn/excelstat.htm: How to use Excel to do statistics.
• http://www.stats.gla.ac.uk/steps/glossary/anova.html: Statistics glossary for experiment design and ANOVA.
• http://math.uc.edu/statistics/hyperstat/ or http://www.davidmlane.com/hyperstat/: "HyperStat Online" is an introductory-level hypertext statistics book. 

• http://www.ruf.rice.edu/~lane/rvls.html: The "Rice Virtual Lab in Statistics" is a comprehensive, highly functional, interactive site for the methods and concepts of statistics.   

• http://departments.vassar.edu/~lowry/VassarStats.html: This site for statistical computation provides on line, interactive forms.

• http://www.stat.lsa.umich.edu/~faraway/ and http://www.class.umd.edu/enme/392/Slide_Show/: Two examples of the many statistical courses available on the Internet.
• http://members.aol.com/johnp71/javastat.html: The web pages listed here comprise a powerful, conveniently-accessible, multi-platform statistical software package. There are also links to online statistics books, tutorials, downloadable software, and related resources. All of these resources are freely accessible.