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Posts tagged "LSSGB" (Page 8)
A. Good (1-alpha) decisionB. Type II (Beta) errorC. Type I (alpha) errorD. Good (1-Beta) decision Type I (alpha) error The rejection of a test result, when the null hypothesis really is true is a type I (alpha) error.
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August 23, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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A. Accept the gage as validB. Check for ndc valueC. Check for Part VariationD. Check Equipment and Appraiser Variation Check Equipment and Appraiser Variation If %GRR value is >30%, the Six Sigma team should check the Equipment and Appraiser Variation to know which one of...
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August 23, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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A. Partial Least SquaresB. Maximum Likelihood EstimateC. Ordinary Least SquaresD. None of the above Ordinary Least Squares For a Simple Linear Regression in determining the best fit line, Ordinary Least Squares is the method used.
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August 23, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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A. 0.007B. 0.00655C. 0.0062D. 0.0055 0.0062 Z = (150-125)/10 = 25/10 = 2.5 Area under 2.5 corresponds to 0.0062. Thus, the probability of a Type II Error, which is beta, is 0.62%.
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August 23, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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A. A type I error improves with each individual analysisB. Interactions are clearly determinedC. A type I error increases with each individual analysisD. The optimum combination of factors is revealed A type I error increases with each individual analysis With each single comparison, more errors...
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August 23, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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A. Simplex designsB. Orthogonal designsC. Screening experimentsD. Mixture experiments Screening experiments In screening experiments, highly fractional factorial designs are used to look for only factor main effects. They are called screening because they try to eliminate seemingly unimportant factors.
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August 23, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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A. CollinearityB. ConfoundedC. CorrelationD. Covariates Collinearity Having two variables that are highly correlated in the experimental model will make it difficult or impossible to detect which factor really affects the response. This condition is called collinearity. The correct answer is Collinearity .
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August 23, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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Full factorial Half fractional factorial Quarter fractional factorial None of the above Quarter fractional factorial Quarter fractional factorial is an experiment where three quarters of the combinations are omitted.
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May 15, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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Brainstorming Multi-voting NGT Discussions Multi-voting can at times be used as a substitute to Pareto charts as a prioritization tool. Option b is the correct answer.
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May 15, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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They don’t normally give the right results They mislead the practitioners at times The results may be statistically significant in cases, but the practical significance need to be known. They are too biased on errors The results may be statistically significant in cases, but the...
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May 15, 2020 admin
Certification Exams Questions, LSSGB/ LEAN SIX SIGMA GREEN BELT
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