Final Exam: Lean Six Sigma Black Belt
Six Sigma Black Belt
| Expert
- 1 video | 32s
- Includes Assessment
- Earns a Badge
This Final Exam will test your knowledge and understanding of Six Sigma tools and processes and how they can be used for analyzing and improving processes.
WHAT YOU WILL LEARN
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Use key hypothesis testing concepts to interpret a testing scenariorecognize the implications of a hypothesis test result for statistical and practical significancerecognize steps in developing a business case for six sigma project charteridentify the best practices for determining project scopeidentify examples of considerations related to the key performance measurement areas in a six sigma projectmatch measurement tool categories to descriptionsrecognize an example of the correct application of the rule of tensequence the steps in a process for cleaning dataidentify the advantages of automated data collectionmatch voice of the customer (voc) strategy tasks to their descriptionsdetermine the most appropriate customer data collection method to use in a given scenariocalculate the risk priority number (rpn) for a given cause of failurerecognize activities performed in the scenario planning processmatch suggested steps in a root cause analysis to associated activitiesrecognize the type of waste expressed in a conventional statement and associate it with lean six sigma thinking for eliminating that wastedistinguish between the lean and six sigma improvement methodologiesrecognize the best approach for integrating lean and six sigma initiatives, given basic organizational conditionsdistinguish realities about benchmarking from misconceptionsidentify benchmarking realities and misconceptionsclassify the source of error in a measurement scenariorecognize the appropriate consideration of required elements for developing a traceability documentuse agreement values to interpret measurement data, in a given scenariouse the formulas for repeatability and reproducibility to evaluate a measurement system, in a given scenariointerpret factor scores as part of factor analysis (fa)interpret the results of a discriminant analysis
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interpret the results of a multiple analysis of variance (manova)recognize situational factors that call for a nonparametric method and choose the appropriate test, in a given scenarioselect the situation that is best suited for a kruskal-wallis testcalculate the probability of compound events in a given scenariochoose the appropriate discrete distribution for a given studyrecognize the characteristics and applications of lognormal, exponential, weibull, and bivariate distributionscalculate the mean and standard deviation for binomial datacalculate the desired amount of work-in-process (wip) and predict the consequent improvement in pcecalculate takt time and determine the best option for streamlining a process to meet customer demand, in a given scenariomatch process analysis tools to descriptions of their useidentify steps for creating a spaghetti diagraminterpret elements of a value stream mapdistinguish between "evolutionary" and "revolutionary" improvement methodologiesdetermine whether an organization has correctly carried out the six sigma project selection processsequence the steps using portfolio analysis to prioritize a potential six sigma projectrecognize the techniques associated with each stage of conducting a feasibility studyrecognize examples of theory-based motivational techniques that are applied in the organizationrecognize examples of good communication practices for team facilitationmatch key design of experiments (doe) concepts with examplesmatch common experimental resolution levels to descriptionsidentify the important attributes of key performance indicatorssequence the steps in cost-benefit analysisperform key steps in a hypothesis test for proportions, and interpret the resultsdetermine whether a goodness-of-fit test was calculated and interpreted correctlyrecognize how various tools are used to identify and analyze customer requirements
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