Data Sampling is the selection of statistical samples from the population to estimate the characteristics of entire population.
Graphical analysis is one of the critical aspects of Six Sigma projects. It is an effective way to visualize data patterns.
A cause and effect matrix is a six sigma tool that prioritizes the key process input variables based on priorities of customer outputs.
FMEA (Failure Mode Effects Analysis) is a tool that helps us anticipate what might go wrong with a process and identify the possible causes.
Point estimate and Interval estimates are the two forms of population parameter estimation based on sample data.