Final Exam: Lean Six Sigma Black Belt

Six Sigma Black Belt    |    Expert
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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

  • Use key hypothesis testing concepts to interpret a testing scenario
    recognize the implications of a hypothesis test result for statistical and practical significance
    recognize steps in developing a business case for six sigma project charter
    identify the best practices for determining project scope
    identify examples of considerations related to the key performance measurement areas in a six sigma project
    match measurement tool categories to descriptions
    recognize an example of the correct application of the rule of ten
    sequence the steps in a process for cleaning data
    identify the advantages of automated data collection
    match voice of the customer (voc) strategy tasks to their descriptions
    determine the most appropriate customer data collection method to use in a given scenario
    calculate the risk priority number (rpn) for a given cause of failure
    recognize activities performed in the scenario planning process
    match suggested steps in a root cause analysis to associated activities
    recognize the type of waste expressed in a conventional statement and associate it with lean six sigma thinking for eliminating that waste
    distinguish between the lean and six sigma improvement methodologies
    recognize the best approach for integrating lean and six sigma initiatives, given basic organizational conditions
    distinguish realities about benchmarking from misconceptions
    identify benchmarking realities and misconceptions
    classify the source of error in a measurement scenario
    recognize the appropriate consideration of required elements for developing a traceability document
    use agreement values to interpret measurement data, in a given scenario
    use the formulas for repeatability and reproducibility to evaluate a measurement system, in a given scenario
    interpret factor scores as part of factor analysis (fa)
    interpret the results of a discriminant analysis
  • 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 scenario
    select the situation that is best suited for a kruskal-wallis test
    calculate the probability of compound events in a given scenario
    choose the appropriate discrete distribution for a given study
    recognize the characteristics and applications of lognormal, exponential, weibull, and bivariate distributions
    calculate the mean and standard deviation for binomial data
    calculate the desired amount of work-in-process (wip) and predict the consequent improvement in pce
    calculate takt time and determine the best option for streamlining a process to meet customer demand, in a given scenario
    match process analysis tools to descriptions of their use
    identify steps for creating a spaghetti diagram
    interpret elements of a value stream map
    distinguish between "evolutionary" and "revolutionary" improvement methodologies
    determine whether an organization has correctly carried out the six sigma project selection process
    sequence the steps using portfolio analysis to prioritize a potential six sigma project
    recognize the techniques associated with each stage of conducting a feasibility study
    recognize examples of theory-based motivational techniques that are applied in the organization
    recognize examples of good communication practices for team facilitation
    match key design of experiments (doe) concepts with examples
    match common experimental resolution levels to descriptions
    identify the important attributes of key performance indicators
    sequence the steps in cost-benefit analysis
    perform key steps in a hypothesis test for proportions, and interpret the results
    determine whether a goodness-of-fit test was calculated and interpreted correctly
    recognize how various tools are used to identify and analyze customer requirements

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