Web Pages that Perform Statistical Calculations

Calculating Pages...

Other Statistical Resources...


First -- Choose the right test! [return to Table of Contents]

There are a bewildering number of statistical analyses out there, and choosing the right one for a particular set of data can be a daunting task. Here are some web pages that can help:

  1. "Selecting Statistics", by Bill Trochim (Cornell). This is an interactive set of web pages to help you select the right kind of analysis to perform on your data. It asks you a simple series of questions about your data (how many variables, etc.), then makes recommendations about the best test to perform.
  2. Choosing a Statistical Test, Chapter 37 of Dr. Harvey Motulsky's book Intuitive Biotatistics.
  3. The very extensive test-selection routine used in Dr. Robert Knodt's MODSTAT statistical package.

Calculators, Plotters, Function Integrators, and Interactive Programming Environments...[return to Table of Contents]


Probability Distribution Functions: Tables, Graphs, Random Number Generators... [return to Table of Contents]


Descriptive Statistics, Histograms, Charts... [return to Table of Contents]


Confidence Intervals, Single-Population Tests, Measurement Errors... [return to Table of Contents]


Sample Comparisons: t-Tests, ANOVAs, Non-parametric Comparisons... [return to Table of Contents]


Contingency Tables, Cross-tabs, Chi-Square Tests... [return to Table of Contents]


Regression, Correlation, Least Squares Curve-fitting, Non-parametric Correlation... [return to Table of Contents]


Analysis of Survival Data... [return to Table of Contents]


Bayesian Methods... [return to Table of Contents]


Other Statistical Tests and Analyses... [return to Table of Contents]


Specialized and Discipline-Specific Tests and Analyses... [return to Table of Contents]

Martindale's Reference Desk -  Calculators On-Line - Statistics (the grand-daddy of all compendia of calculating web pages)


Power, Sample Size and Experimental Design Calculations... [return to Table of Contents]

Check out the large number of power and sample size calculators at the UCLA Statistics website. Many of them are included below.