Six Sigma Black Belt Session 8 Correctly Answered Questions| UpToDate | Already Graded A+

A Lean Six Sigma team is trying out a new forming tool to reduce variability in a process that creates hamburgers patties in a fast food restaurant. One of the significant dimensions has a process standard deviation of 0.35 mm. The team needs to know how many samples to collect in order to achieve an estimate of the mean with precision of + or - 0.15 mm, with 95% confidence. What sample size is required to meet this goal? A) 21 B) 12 C) 42 D) 84 E) 65 : A) 21 Which of the following assumptions is common to both OLS and Logistic regression? A) Error variance is constant across predictor levels. B) Error terms are normally distributed. C) Error terms are independent of each other. D) The response variable Y is linear in the set of predictors. : C) Error terms are independent of each other. 2 | P a g e Which of the following statements is true, based on the hypothetical logistic regression model regarding the impact of age on job promotion: Logit(Promotion) = -4.215 + 0.04*AGE A) The chances of being promoted decrease with age. B) The chances of being promoted increase with age. C) Promotions are caused by increasing age. D) Promotions are linearly related to age. : B) The chances of being promoted increase with age. Choose which situation(s) could be investigated using Box Plots: A) Your team has collected cycle time data for all their transactions over a 30 day period. For each cycle time, they recorded the day of the week, the location (four stores) and the customer service rep name (eight reps at each store). Now they want to investigate these factors to see which might be significant. B) The human resources department has compiled data for the turnover rates for 4 plants. They give you the turnover rate at each plant expressed as a percentage for the last 6 months. C) You have 20 samples of dimensional data from each cavity of a 4-cavity mold and you'd like to compare the 4 cavities.