Null hypothesis vs. hypothesis, which is the right choice? When you get into the different methods of analyzing data, there is no shortage of tools at your disposal. Understanding the difference ...

What exactly is an Anderson-Darling test? Testing for normality is often the first step in analyzing your data. Many ...

A null hypothesis is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations.

Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and, more broadly, in the biomedical and social sciences.

A scientific hypothesis is a tentative, testable explanation for a phenomenon in the natural world. It's the initial building block in the scientific method. Many describe it as an "educated guess ...

A mathematical ritual known as null hypothesis significance testing has led researchers astray since the 1950s.

Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

The simulation hypothesis is the modern equivalent of an idea that’s been around for a while, and it is the idea that the physical world that we live in, including the Earth and the rest of the ...

800 scientists say it’s time to abandon “statistical significance” P-values and “statistical significance” are widely misunderstood. Here’s what they actually mean.