Last Update 3 hours ago Total Questions : 357
The Certified Lean Six Sigma Black Belt (CLSSBB) content is now fully updated, with all current exam questions added 3 hours ago. Deciding to include CLSSBB practice exam questions in your study plan goes far beyond basic test preparation.
You'll find that our CLSSBB exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these CLSSBB sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Certified Lean Six Sigma Black Belt (CLSSBB) practice test comfortably within the allotted time.
After a team has engaged in diversion activities they may need to employ a tool for conversion. Examples of such a tool are:
I. nominal group technique
II. Multivoting
III. cause and effect diagram
IV. activity network diagram
V. matrix diagrams
A medicine with efficacy of .52 is given to five patients. Find the approximate probability that at least one of the patients is cured. (Hint: Use the binomial formula.)
Calculate the interaction effect.

Find the value of (4) in the ANOVA table. Assume:

Is it safe to assume that the interaction effects are negligible?

The average weight of castings produced at the Nebraska foundry is 3.7 lbs. A new supplier from Kansas has submitted a batch of castings known to have normally distributed weights. A random sample of 10 has an average weight of 3.6 lbs. and standard deviation 0.06 lbs. Do these data indicate that the Kansas foundry produce lighter castings on average?
The following data were collected on the diameters of turned shafts: 2.506 2.508 2.505 2.505. These values are:
I. Attribute data
II. Discrete data
III. Variables data
IV. Continuous data
Samples of size n=36 are randomly selected from a population with mean μ = 125 and variance 12. Find the variance of the distribution of sample means.
A population is bimodal with a variance of 5.77. One hundred samples of size 30 are randomly collected and the 100 sample means are calculated. The standard deviation of these sample means is approximately:
A pharmaceutical manufacturer is designing an experiment to test four different capsule ingredients designed to reduce dissolution time. Each ingredient will be tested at 10 milligrams and 40 milligrams. A full factorial design is used with five replications per run. The number of levels, factors and runs is, respectively:
