Category: LSSBB/ Lean Six Sigma Black Belt

OPTIONS Binomial Statistic Poisson Statistic Moving Average Statistic Chi-Square Statistic ANSWER Chi-Square Statistic EXPLANATION The Chi-Square statistic can be used to determine the probability of variances occurring. χ2 = (n-1)s2/ơ2

OPTIONS Data Variation and Data Continuity Accuracy and Precision Significance Level and Sample Size Data Relativity ANSWER Significance Level and Sample Size EXPLANATION Significance level and sample size impact the confidence interval – The choice of ? for the confidence intervals dictates the margin of...

OPTIONS Interval between 2 consecutive sets of data population Estimated range of values which is likely to include the parameter of the population Interval between each measurement to gain confidence Interval between the Measure and Analyze phase ANSWER Estimated range of values which is likely...

OPTIONS Standard Stepwise, Forward Selection, and Backward Elimination Standard Stepwise, Forward Estimation, and Backward Estimation Standard Stepwise, Forward Regression, and Backward Regression Standard Stepwise, Forward co-relation, and Backward co-relation ANWER Standard Stepwise, Forward Selection, and Backward Elimination EXPLANATION In Stepwise Regression, the most significant variable...

OPTIONS Partial Residuals Sum of Squares Part Regression Six Sigma Predicted Residuals Six Sigma Predicted Residuals Sum of Squares ANSWER Predicted Residuals Sum of Squares EXPLANATION PRESS stands for Predicted Residuals Sum of Squares in PRESS Statistic.

OPTIONS Duminy Walker Statistic Durbin Walker Statistic Durbin Watson Statistic Duminy Watson Statistic ANSWER Durbin Watson Statistic EXPLANATION Durbin Watson Statistic Tests are used to determine the presence of auto-correlation in residuals.

OPTIONS Multiple Linear Regression Variation Inflation Factor Single Linear Regression Statistical Accuracy ANSWER Variation Inflation Factor EXPLANATION VIF (Variance Inflation Factor). VIF shows the extent to which multicollinearity exists amongst predictors.

OPTIONS 1 KPOV and 1 KPIV 1 KPOV and 2 KPIV 2 KPOV and 1 KPIV 2 KPOV and 2 KPIV ANSWER 1 KPOV and 2 KPIV EXPLANATION Multiple Linear Regression is to be used when you have one response variable (KPOV) and two multiple...

OPTIONS Aggregated Linear Regression Single Linear Regression Sample Linear Regression Simple Linear Regression ANSWER Simple Linear Regression EXPLANATION Simple Linear Regression is to be used when you have one response variable (KPOV) and one predictor variable (KPIV) to test.

OPTIONS using trained professionals using approved funds only for a certain fixed duration in a few departments within the company. ANSWER in a few departments within the company. EXPLANATION It is important that the methodology is applied in all the departments of the company and...