LSSA Exam

Explore 12 resources related to LSSA Exam on ProcessExam. These resources help certification candidates understand key aspects of exam preparation, including exam structure, study strategies, and expectations for scenario-based or applied assessments. Reviewing these materials can help improve readiness and confidence before attempting the certification exam.

Six Sigma Terminology - D to F

Defining terminology and solving doubts on them is a vital part you do as a six sigma expert. Terminologies are descriptive in nature and should be understood before moving ahead in studies.

Data

Data are factual information used as a basis for reasoning, discussion, or calculation; often this term refers to quantitative information. It is plural in form. The singular is “datum.”

Defect

Any undesired result is a defect.

A failure to meet one of the acceptance criteria of your customers. A defective unit may have one or more defects. ‘A defect is an inability to conform to requirements’ (Crosby, ‘Quality Is Free’), whether or not those requirements have been articulated or specified.

Defective

The word defective describes an entire unit that fails to meet acceptance criteria, regardless of the number of defects within the unit. A unit may be defective because of one or more defects.

Six Sigma Terminology - A to C

Before starting six sigma journey, you should take the time to review terms of six sigma for the better understanding of its tools and techniques.

six sigma terms

Accountability

Conditional personal or professional liability “after” the fact, determined by action or responsibility. Accountability to action assumes the willingness to be held accountable for sufficient expertise and capability. (see responsibility)

Accuracy

  1. Accuracy refers to a clustering of data about an obvious target. It is the difference between a physical quantity’s average measurements and that of a known standard, accepted ‘truth,’ vs. ‘benchmark.’ Envision a target with many arrows circling the bullseye. However, none of them are near each other.

  2. Precision refers to the tightness of the cluster of data. Envision a target with a cluster of arrows all touching one another but located slightly up and to the right of the bullseye.

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