often using real-world data instead. These tests are simple to implement, allowing laypeople to conduct them if needed. Many ...

A t-test is an inferential statistical test used to determine if there is a significant difference between the means of two groups and how they are related. T-tests are used when the data sets ...

As such, you’ll need to do a check before making use of this test in your statistical analysis. The Six Sigma Black Belt ...

What is the Kruskal–Wallis test? The Kruskal–Wallis test is a statistical test used to compare two or more groups for a continuous or discrete variable. It is a non-parametric test, meaning that it ...

When not to use post-hoc tests? As with many statistical procedures, there are disadvantages and even sometimes controversy attached to the use of post-hoc testing. Some statisticians prefer not to ...

At the time, it was considered a trade secret that they were using statistical methods to improve their process and product. One problem they were having was that the z-test (a commonly used test ...

Statistical analysts measure and examine a random sample of the population being analyzed. All analysts use a random population sample to test two different hypotheses: the null hypothesis and the ...

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 ...

A test administrator is now cooperating with ... computer to run and does not take much longer than standard statistical models used in this area," McNeish said. "Logistically, all the pieces ...