The second module in the Roadmap to Data Analysis series, this short video defines the types of variables, describes the various levels of measurement (including continuous and categorical, nominal, and ordinal variables), and identifies the best ways to report data.

The Student's t-test is used in this video: http://www.healtorture.org/content/paired-t-test-calculator-tool

The fourth module in the Roadmap to Data Analysis series, this short video helps you determine which statistical test to use for comparing averages between two groups, describes the differences between the independent t test and dependent (paired) t test, and demonstrates how to use a t test calculator with example data, and interpret results.

This calculator was used to obtain both the r and p values in this video: http://www.healtorture.org/content/pearson-r-and-p-value-calculators

If you are familiar with Excel, you can also use the step-by-step instructions available here to obtain the Pearson's r value: http://www.healtorture.org/content/correlation-calculation)

The sixth module in the Roadmap to Data Analysis series, this short video describes the type of data that are relevant for a correlation analysis, explains the basics of how correlation works, demonstrates how to use a correlation calculator or Excel to conduct a correlation analysis with sample data, and provides guidance on interpreting and reporting results.