This Review discusses the principles and applications of significance testing and power calculation, including recently proposed gene-based tests for rare variants.

A new method, R-scape, tests whether observed sequence covariation supports a conserved secondary structure in RNA. The program finds no evidence for previously proposed conserved secondary ...

The Institute of Statistical Science conducts fundamental and applied research related to statistics and probability. The Institute respects independent research of individual principal investigators, ...

What is the Friedman test? The Friedman test, also sometimes referred to as Friedman’s two-way analysis of variance by ranks, is a non-parametric statistical test used to investigate whether groups of ...

This paper describes a recent test conducted in Maharashtra to test the predictive power of natal astrology. It involved collecting 200 birth details of 100 bright school students (group A) and 100 ...

Statistical significance is a result that’s not likely to occur randomly and is likely traceable to an identifiable prompt.

This short course provides an overview of statistical analyses useful for comparing the means for one or more samples. The statistical training will include the discussion of the one sample t-test, ...

A study has validated a new statistical model that uses multiple standardized test scores over time to predict future academic performance. The dynamic measurement model accurately predicted ...