Design of Experiments Terminology can be daunting! Here’s an easy glossary to reference when working with these types of questions.
Factorial Design Overview covers one of the key issues in designing an experiment: identifying as many influences on the results as possible.
In most experiments, you’ll have a number of factors to deal with. These are elements that affect the outcomes of your experiment. They fall into a few basic categories:
A tailed hypothesis tests is an assumption about a population parameter. One-tailed and Two-tailed tests are two types of tests.
A p-value is expressed as a number between 0 and 1. It is used to determine if hypothesis test results are statistically significant or not.