Linear regression is a statistical technique to estimate the relationship between a dependent variable and an independent variable.
The T distribution and T tests are used to determine the likelihood of various conditions occurring for small sample sizes (<=30).
Analysis of Variance (ANOVA) is a parametric statistical technique that compares data sets. They evaluate the means of three or more factors.
Root cause analysis is a collection of tools and processes used to determine the most important causes for an issue we are trying to resolve.
The Theory of Constraints states organizations can be measured by three criteria: throughput, operational expense, and inventory.
