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# PeopleCert IASSC Lean Six Sigma - Black Belt Exam Questions

Status: RETIRED
Exam Name: IASSC Lean Six Sigma - Black Belt
Exam Code: IASSC Lean Six Sigma - Black Belt
Related Certification(s): PeopleCert Lean Six Sigma Certification
Certification Provider: PeopleCert
Actual Exam Duration: 240 Minutes
Number of IASSC Lean Six Sigma - Black Belt practice questions in our database: 300 (updated: 11-06-2024)
Expected IASSC Lean Six Sigma - Black Belt Exam Topics, as suggested by PeopleCert :
• Topic 1: Six Sigma Control Plans/ Statistical Process Control (SPC)/ Lean Controls
• Topic 2: Hypothesis Testing with Non-Normal Data/ Patterns of Variation
• Topic 3: Measurement System Analysis/ Process Definition/ Process Capability/ Six Sigma Statistics
• Topic 4: Multiple Regression Analysis/ Simple Linear Regression
• Topic 5: Selecting Lean Six Sigma Projects/ Basics of Six Sigma/ Fundamentals of Six Sigma
• Topic 6: Hypothesis Testing with Normal Data/ Inferential Statistics/ Hypothesis Testing
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## Free PeopleCert IASSC Lean Six Sigma - Black Belt Exam Actual Questions

### Note: Premium Questions for IASSC Lean Six Sigma - Black Belt were last updated On 11-06-2024 (see below)

Question #1

The _____________ Distribution would be the most desirable for modeling the number of stitch defects in a portion of fabric.

Question #2

Use this data to calculate the Z score. Average oF. 65, Standard Deviation: 3, Upper Spec Limit:

72

Question #3

The _____________ Distribution would be the most desirable for modeling the number of stitch defects in a portion of fabric.

Question #4

The Japanese born function of a Kaizen event utilizes a specific, step-by-step approach meant to bring about major changes to a process.

Question #5

A Personal Trainer was assessing her workout class participants for their body fat content and had to include data for her analysis. One of the columns listed the range of weight of the people included in the studies. This required plotting a Histogram of the weight of the people assessed for their body fat content. While drawing the Histogram the x-axis contained a certain scale of data. Pick the scale of data that is appropriate for Histograms.