Six Sigma Black Belt Session 8 Exam Questions and Answers 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 - Answers 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. - Answers C) Error terms are independent of
each other.
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. - Answers 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.
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 - Answers 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. - Answers C) Error terms are independent of
each other.
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. - Answers 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.
