Power and sample size
analysis optimizes the resource usage and design of a study, which
improves the chances of conclusive results with maximum efficiency.
This task performs power and sample size analyses for tests of simple
and partial Pearson correlation between two variables. Both Fisher’s z transformation
and the t transformation are supported.