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2016 Aug ICGB latest exam
Q91. A periodic time frame can be used to arrange for Control Limit and Center Line calculations with good SPC implementation in a process.
Q92. Lean Enterprise is based on the premise that anywhere work is being done which of these is also occurring?
A. Money is being spent
B. Waste is being generated
C. People are producing value added product
D. Waste is being eliminated
Q93. Customers make a purchase decision based on a number of factors. In Lean Six Sigma we refer to these decision points as CTQ’s which stands for __________.
A. Cost of the quantity
B. Conscious thought qualities
C. Conspicuous time quandaries
Q94. Which of these are correct if Cpk Upper is 2.0 and Cpk Lower is 1.0?
A. The process is not stable.
B. The process is shifted to the left.
C. Cpk must be reported as 1.0.
D. The process Mean is 1.5.
Q95. When analyzing a data set we frequently graph one metric as a function of another. If the slope of the Correlation line is -2.5 we would say the two metrics are ___________ correlated?
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Q96. Examples of a Visual Factory include which of these? (Note: There are 2 correct answers).
A. White outlines on floor for proper inventory placement
B. Documented procedures with a numerical outline
C. Bad/Good indications of gauge readings with red and green outlines
D. Implementing a defect inspection device
Q97. Long-term Data represents all the variation that one can expect within the subject process.
Q98. A process can be defined as a repetitive and systematic series of steps or activities where inputs are modified or assembled to achieve a customer desired result.
Q99. To draw inferences about a sample population being studied by modeling patterns of data in a way that accounts for randomness and uncertainty in the observations is known as ____________________.
A. Influential Analysis
B. Inferential Statistics
C. Physical Modeling
D. Sequential Inference
Q100. When a Belt is analyzing sample data she should keep in mind that 95% of Normally Distributed data is within +/- 2 Standard Deviations from the Mean.
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