Your Path to Success: How to Pass the GAQM CLSSGB Certified Lean Six Sigma Green Belt (CLSSGB) Exam

The perfect sample size is the minimum number of data points required to provide exactly 6% overlap or risk if one wants a 95% confidence level.

Having an Alpha of .05 and a Beta of .10 are the most common risk levels when running a Statistical test.

Conducting a viable Capability Analysis using Attribute Data one must obtain a fairly large sample set to be statistically sound.

SPC on the outputs is more preferred than SPC on the inputs when implementing SPC for your process.

The Alpha level of a test (level of significance) represents the yardstick against which P-values are measured and the Null Hypothesis is rejected if the P-value is which of these?

The reason(s) for not marking the customer Specification Limits (SL) on a Control Chart is which of these? (Note: There are 4 correct answers).

Lean Enterprise is based on the premise that anywhere work is being done which of these is also occurring?

Fractional Factorial designs for an experimental approach are used when ____________ about the multiple metric interaction in a process.

The proper functioning of a Visual Factory is dependent upon which of these?

Inferential Statistics is largely about Significance. There are both Practical and _______________ Significance to consider during an analysis of data in a Lean Six Sigma project.