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 ...

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 ...

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 ...

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

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 ...

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

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 ...

Two-sample t-tests are statistical tests used to compare the means of two populations. Also known as Student’s t-tests, their results are used to determine if there is a significant difference between ...