Six Sigma Green Belt Practice Test
Six Sigma Green Belt Improve Phase Practice Questions
Improve Phase makes up 8 of every 50 questions on a Tigertest Six Sigma Green Belt practice test. Here are 10 of the 32 questions on it, each with the answer and the reason.
Updated by the Tigertest team. Based on the ASQ CSSGB Body of Knowledge (2022). Original questions; 50 per test, weighted like the real exam, with a 70% readiness line. Not affiliated with ASQ.
1. In an experiment on oven temperature and bake time, what is the response?
- A.The order of the runs
- B.The output measured
- C.The oven temperature
- D.The bake time setting
Answer: B. The response (dependent variable) is the measured output, such as crust hardness. Temperature and time are factors (independent variables) set by the experimenter.
2. A factor is studied at 150, 175 and 200 degrees. How many levels does it have?
- A.2
- B.6
- C.1
- D.3
Answer: D. Each distinct setting of a factor is a level, so three temperatures give three levels.
3. How many runs does a full factorial design need for 4 factors at 2 levels each, with no replicates?
- A.16
- B.32
- C.8
- D.6
Answer: A. A two-level full factorial has 2 to the power k runs: 2 to the power 4 = 16. Eight runs would need 3 factors or a half fraction.
4. A 2-level, 3-factor full factorial is run with 3 replicates. How many runs are made in all?
- A.8
- B.27
- C.24
- D.9
Answer: C. One replicate has 2 cubed = 8 runs, and three replicates give 8 x 3 = 24. 27 is 3 cubed, the count for three levels.
5. Why are experimental runs carried out in a random order?
- A.To make analysis easier
- B.To raise the mean response
- C.To spread out lurking effects
- D.To reduce the number of runs
Answer: C. Randomization spreads the effect of uncontrolled changes, such as warm-up or tool wear, across all treatments so they do not bias any factor's effect.
6. An experiment runs half its trials on Monday's material lot and half on Tuesday's. What technique keeps the lot difference out of the factor effects?
- A.Blocking
- B.Randomization alone
- C.Confounding
- D.Replication
Answer: A. A block groups runs made under similar conditions, such as one material lot. The block effect is then separated from the factor effects in the analysis.
7. What is the difference between replication and repetition in a DOE?
- A.Replication needs more factors
- B.Only repetition resets setup
- C.They mean exactly the same
- D.Only replication resets setup
Answer: D. Replication repeats the full treatment from a fresh setup, capturing setup-to-setup variation. Repetition measures several units from one setup.
8. In DOE, what is a treatment?
- A.A block of similar runs
- B.One set of factor levels
- C.The measured output
- D.A random error term
Answer: B. A treatment is a specific setting of all factors, such as high temperature with low time. A full factorial runs every treatment.
9. Average yield is 46 at the high setting of a factor and 38 at the low setting. What is the main effect of the factor?
- A.-8
- B.+8
- C.+4
- D.+84
Answer: B. Main effect = average response at high - average at low = 46 - 38 = +8. Halving it gives 4, the coefficient in some coded models, not the effect.
10. A 2 x 2 experiment gives yields of 20 (A low, B low), 30 (A high, B low), 24 (A low, B high) and 40 (A high, B high). What is the main effect of A?
- A.16
- B.7
- C.10
- D.13
Answer: D. A effect = average at A high - average at A low = (30 + 40) / 2 - (20 + 24) / 2 = 35 - 22 = 13.
Practice all 32 improve phase questions, and the rest of the 200-question bank, in the free Six Sigma Green Belt training sets. Questions you miss come back until you have mastered them.
Start practicingFree to start. No account needed.