Pass the GAQM Lean Six Sigma Black Belt Certification CLSSBB Questions and answers with ExamsMirror

This table displays the inventory of fasteners in a storage cabinet. An item is selected at random from the fastener cabinet. Find the approximate probability it is size 3/4.

The leader in the quality movement who recommended that organizations “eliminate numerical quotas for the work force and numerical goals for management”:

A team wants a technique for obtaining a large number of possible reasons for excess variation in a dimension. They should use:

The management team in the above problem assigns each goal a numerical value designating its importance. The “bulls eyes,” circles and triangles are replaced by the values 3, 2 and 1 respectively. Entries are made in each box by multiplying the 3, 2 or 1 by the goal value.

The importance of each activity is calculated by adding the entries in its row.

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.)

This table displays the inventory of fasteners in a storage cabinet. An item is selected at random from the fastener cabinet. Find the approximate probability it is a bolt.

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?

Find the value of (3) in the ANOVA table. Assume:

An engineer wants to try two hardening ovens to see whether they have different hardness scores. She cuts 8 pieces of bar stock in half, putting half of each in oven A and the other half in oven B. The following data are collected:

Do the data indicate that the ovens have different average scores? Assume differences are normally distributed.

A random sample is selected from a population of measurements. The mean of the sample is not equal to the mean of the population. This is due to: