Tag: LSSBB Exam

OPTIONS Correlated Auto-correlated Collinear Confounded ANSWER Collinear EXPLANATION Collinear means correlated to each other unless they auto-correlate

OPTIONS The Upper Whisker is at 33.0 The Data could be skewed The data forms a normal distribution The Lower Whisker is at 30 ANSWER The Data could be skewed EXPLANATION Option a and d are visible from the Box Plot, but in terms of...

OPTIONS Brainstorming Affinity Diagram Cause and Effect Diagram Cause and Effect Matrix ANSWER Cause and Effect Diagram EXPLANATION The CE Diagram is the best possible tool here.

OPTIONS Normal Distribution Poisson Distribution Hypergeometric Distribution Chi-Square Distribution ANSWER Normal Distribution EXPLANATION For large sample sizes, the Binomial distribution moves to the normal distribution.

OPTIONS 0.66 0.62 0.6 0.5 ANSWER 0.66 EXPLANATION Applying standard binomial formula with p = 0.02 and x = 0.

i. The process is in control ii. The process may not have been in control iii. The process may not have been normal OPTIONS i and ii ii and iii i, ii and iii Correct Option:B ii and iii EXPLANATION Such a condition can only...

ANSWER Reduce variations Center the mean Bring the process in statistical control The choice of what to do rests with the Black Belt ANSWER Reduce variations EXPLANATION Cp value less than 1 automatically indicates that variations are high in the process

OPTIONS 0.5 1 1.5 2 ANSWER 1 EXPLANATION The Cp is 1 as derived by applying standard Cp formula.

OPTIONS Choose normal after transforming data Choose 3-Parameter Weibull Choose Log-Normal Can’t decide ANSWER Choose normal after transforming data EXPLANATION The Box Cox distribution has the best fit value here. So, the Black Belt should transform the data.

OPTIONS The data is normal bar one or two exceptions The data may not follow a normal distribution The Box Cox transformation should be used to check the fit The data may have to be subjected to further tests. ANSWER The data may not follow...