Lean Six Sigma Green Belt Sample Paper: Analyze 1. The Regression equation is Sales= 4430+4.63*Adspend. If Adspend $ 4400, what is expected sales? 24802 20915 20410 216152. Type I error is Null Hypothesis is not true, however we accept Null Hypothesis Null Hypothesis is true, however we accept Alternate Hypothesis Both ‘a’ and ‘b’ are correct None of the above3. What is the Alternative Hypothesis in One‐Way ANOVA? All Variances are equal Not all Variances are equal All Means are equal Not all Means are equal4. For the data provided in Table 2, please find Correlation coefficient of the two continuous variables and draw inferences r=‐0.98 and strong negative correlation r=0.98 and strong positive correlation r=‐0.9 and weak correlation r=1 and perfect correlation5. Please comment on correlation between X and Y based on figure 1 Strong negative correlation Weak negative correlation Strong positive correlation Weak 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 Y X is one of the causes of Y X has a perfect linear association with Y All 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‐test Chi‐Square Test of Association 2 proportion test 2 sample t test9. What is the main deliverable of Analyze Phase? Selected Solution List of Potential Solutions Validated Root Causes Control Charts10. What tool can help us determine the vital few out of trivial many? Pareto Plots Ishikawa Diagram Design of Experiments Pugh Matrix11. If we want to compare two variances, what test should we carry out? 2‐sample t test F‐test 2-proportion test ANOVA12. 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 B Average of A is equal to Average of B Variance of A is not equal to Variance of B Proportion 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 test ANOVA 2 sample t test 2 proportion test14. Refer to output in table 8, and choose the most appropriate response at 5% significance level Region averages are equal Regions affect % defectives Regions don’t affect % defectives Region variances are equal15. Which hypothesis test is used to compare averages of more than two populations? Analysis of Variance 2-sample t test Chi‐square test of association F‐test16. Which of the following is NOT one of the ‘M’s in 6 Ms? Measurement Money Machine Method17. In FMEA, which numerical measure represents - "how serious is the effect of the failure"? Occurrence Rank Detection Rank Severity Rank Inspection Rank18. Risk Priority Number is the product of Severity, Detection and Correction Severity, Occurrence and Detection Detection, Rework and Yield Occurrence, 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 variables In general, the higher the R‐Sq, the better the model fits your data The equation predicts new observations given specified predictor values All 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!