Frequency plots help monitor the spread of continuous data. A frequency plot is a graph showing a variable’s distributional information.
The purpose of fault tree analysis is to effectively identify cause(s) of system failure and mitigate the risks before it occurs.
Canonical correlation analysis seeks the best sets of linear combinations with independent variables related to dependent variables.
You use non-parametric hypothesis tests when you don’t know, can’t assume, and can’t identify what kind of distribution your have.
Multiple linear regression is an extension to methodology of simple linear regression. It is used to study more than two variables.