My print column this week examines the concept of statistical significance -- a concept that the Supreme Court recently weighed in on, but that remains elusive even to some scientists who use it ...

Bruce Thompson, The Use of Statistical Significance Tests in Research: Bootstrap and Other Alternatives, The Journal of Experimental Education, Vol. 61, No. 4, Statistical Significance Testing in ...

In this article, we will explore some of the theory behind the one sample t test, assumptions of the test, interpretation and a worked example.

The following section discusses the statistical tests performed in the MULTTEST procedure. For continuous data, a t-test for the mean is available. For discrete variables, available tests are the ...

In this article, we review the function of post-hoc tests in statistical analysis, how to interpret them and when to use them (and not use them).

Today our goal is to cover hypothesis testing and the basic z-test, as these are fundamental to understanding how the t-test works. We’ll return to the t-test soon — with real data.

Nonparametric statistics refer to a statistical method in which the data is not required to fit a normal distribution. Rankings should not change.

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 ...

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 ...