Other Statistical Websites
Google and YouTube are your friends – you can find information and explanations on virtually any statistics topic of interest (much of excellent quality, but exercise caution with unverified sources). Here are some of our favorite links.
- Dance of the p-values by Geoff Cumming is an unforgettable multimedia masterpiece. Additional videos that accompany his book on The New Statistics can be found on YouTube.
- Khan Academy includes thousands of short video presentations (most are about 10-12 minutes) on a wide range of topics in science and mathematics, including more than 100 on statistics and probability.
- The Rice Virtual Lab in Statistics contains statistical simulations and Hyperstat, an online text book.
- coursera provides many excellent free online courses, including statistics, data science, and programming.
- Passion-Driven Statistics provides an e-book with a project-based curriculum, analyzes data with multiple statistical software
- μ-Tube by Andy Field provides clear and entertaining explanations on many statistical topics, with humor that may amuse, annoy, or offend.
- Open Online Statistics Courses will take you to links to free statistics courses, compiled by Jasmine Parker.
- Choosing the Right Statistical Test from UCLA is a table depicting guidelines for choosing the appropriate statistical test, with links to guides on how to conduct the corresponding test in SAS, Stata, and SPSS. Under ‘Resources’ see ‘Which Statistical Test?’
- CAUSE (Consortium for the Advancement of Undergraduate Statistics Education) is an excellent source of resources, professional development, and research in support of teaching statistics. Also see CAUSE Resources
- Merlot (Multimedia Educational Resource for Learning and Online Teaching) is a portal to a collection of peer reviewed online learning resources, with over 1000 statistics resources.
- Statistics Online Computational Resource (SOCR) at UCLA provides online aids for statistics education, technology based instruction, and statistical computing. Resources include applets, computational and graphing tools, and instructional materials.
- The American Statistical Association homepage links to many resources for statisticians.
- Archives of EDSTAT-L@LISTS.PSU.EDU A free subscription allows participation in ongoing discussions and access to archived discussion since 1991 regarding teaching and learning statistics.
- Teaching Statistics and Research Methods: Tips from ToP is an organized collection of over 100 articles on statistics and research methods from the journal Teaching of Psychology, from the years 1999 through June 2012.
- British Government Statistical Services includes links to better data presentation and open data sets.
Specialized Topics
- David Kenny’s Structural Equation Modeling site is a good source for information on structural equation modeling and much more.
- Gallery of Data Visualization is maintained by Michael Friendly, York University — the good, the bad, and the ugly of graphing techniques in statistics.
- p-rep Excel workbook downloads Peter Killeen’s Excel workbook for computing p-rep (probability of replication) from raw data or summary statistics.
- Statistical Methods of Rater Agreement covers a range of topics related to rater agreement, including latent class analysis, Kappa, and odds ratio.
- Excel Easy provides step-by-step tutorials for mastering Microsoft Excel, with helpful tips, and over 300 examples, including statistical applications.
Statistics Software
| MINITAB | Spotfire | |
| EQS | R | STATA |
| JMP | SAS | Grafiti |
| Mathematica | SPSS | S-PLUS |
- Raynald’s SPSS Tools offers an FAQ and many tips to help out the SPSS user. Includes example syntax, macros, and scripts.
- Free Statistical Software is a listing of software packages that generally offer more specialized analysis capabilities than those available in the major packages.
- Tutorials for R R is a free but very powerful statistical and graphical programming language. There is a large and enthusiastic user base who provide extensive support with tutorials and sample programs.
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