Lean Six Sigma Green Belt Sample Paper: Analyze This sample paper will check your knowledge on Analyze phase for LSS Green Belt Click on 'Next' to start 1. The Regression equation is Sales= 4430+4.63*Adspend. If Adspend $ 4400, what is expected sales?248022091520410216152. Type I error isNull Hypothesis is not true, however we accept Null HypothesisNull Hypothesis is true, however we accept Alternate HypothesisBoth ‘a’ and ‘b’ are correctNone of the above3. What is the Alternative Hypothesis in One‐Way ANOVA?All Variances are equalNot all Variances are equalAll Means are equalNot all Means are equal4. For the data provided in Table 2, please find Correlation coefficient of the two continuous variables and draw inferencesr=‐0.98 and strong negative correlationr=0.98 and strong positive correlationr=‐0.9 and weak correlationr=1 and perfect correlation5. Please comment on correlation between X and Y based on figure 1Strong negative correlationWeak negative correlationStrong positive correlationWeak positive correlation6. If Confidence level=90%, which of the following statement is correct?alpha=5%beta=5%beta=10%alpha=10%7. If continuous X and continuous Y are perfectly correlated, which of the following statements is most appropriate?X causes YX is one of the causes of YX has a perfect linear association with YAll of the above8. Six Sigma Green Belt wants to ascertain whether average transaction time post improvement has reduced. What is the most appropriate test that the GB should carry out? Consider the data to be independent and normally distributed?F‐testChi‐Square Test of Association2 proportion test2 sample t test9. What is the main deliverable of Analyze Phase?Selected SolutionList of Potential SolutionsValidated Root CausesControl Charts10. What tool can help us determine the vital few out of trivial many?Pareto PlotsIshikawa DiagramDesign of ExperimentsPugh Matrix11. If we want to compare two variances, what test should we carry out?2‐sample t testF‐test2-proportion testANOVA12. Based on the output in table 7, what is the most appropriate inference at a 5% significance level?Variance of A is equal to Variance of BAverage of A is equal to Average of BVariance of A is not equal to Variance of BProportion of A is not equal to Proportion of B13. The manager wants to compare average handling time of two teams. Which test should he use?2 variance testANOVA2 sample t test2 proportion test14. Refer to output in table 8, and choose the most appropriate response at 5% significance levelRegion averages are equalRegions affect % defectivesRegions don’t affect % defectivesRegion variances are equal15. Which hypothesis test is used to compare averages of more than two populations?Analysis of Variance2-sample t testChi‐square test of associationF‐test16. Which of the following is NOT one of the ‘M’s in 6 Ms?MeasurementMoneyMachineMethod17. In FMEA, which numerical measure represents - "how serious is the effect of the failure"?Occurrence RankDetection RankSeverity RankInspection Rank18. Risk Priority Number is the product ofSeverity, Detection and CorrectionSeverity, Occurrence and DetectionDetection, Rework and YieldOccurrence, RTY and FTY19. Which of the following is correct about Regression analysis?Rsq is percentage of response variable variation explained by its relationship with one or more predictor variablesIn general, the higher the R‐Sq, the better the model fits your dataThe equation predicts new observations given specified predictor valuesAll of the above20. What will be the Confidence Level and Power, if beta =15%, and alpha = 10%?Confidence Level =90% and Power =90%Confidence Level =85% and Power =90%Confidence Level =90% and Power =85%Confidence Level =85% and Power =85%21. Process maps can be analyzed for:Time‐per‐event (reducing cycle time)Process repeats (preventing rework)Unnecessary tasks (eliminating tasks that are in the process for no apparent reason)All the aboveTime is Up!