CSSGB Additional Questions I

8/13/2019 CSSGB Additional Questions I

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CSSGB Exam Questions

Page 1 Daniel Zrymiak Author/Compiler

1. Which option does not reflect how replication affects an experiment.a. Increase the treatment effectsb. Better estimate of the error of experiments.c. Improve precision of experiments.d. Better estimate of the treatment effects.

Solution: a. Replication can be done without increasing treatment effects.

2. Blocking is valid for all except:a. A blocking factor has 2 levels.b. A block segments the experimentc. Blocks contribute to getting more random samplesd. A block of trials would be run together.

Solution: a. Blocking variables can have as many levels as desired.

3. Which statement about confounding is true:a. Variables are confounded if their effects are not separable.b. Variables are confounded due to complexity.c. Variables are confounded if the same effects are produced.

d. Variables are confounded if they are collinear.

Solution: a. Variables are confounded if their effects are not seperable.

4. A sequence of four replications consists ofa. One experiment with three repetitions.b. One experiment with three levels.c. One experiment with three factors.d. Planned grouping with four blocks.

Solution: a. One experiment with three repetitions is four replications.

5. A 4^3 experiment describes:

a. Four levels of three factorsb. Three levels of three factorsc. Four factors at three levelsd. Full factorial randomized block experiment

Solution: a. Four levels of three factors.

6. Designed experiments:a. Can use quantitative and qualitative datab. Must use quantitative data onlyc. Should be normally distributedd. Must be tracked with a control chart

Solution: a. Can use quantitative and qualitative data.

7. Designed experiments support Improvement bya. Replicating results within a balanced design quicker than trial and error methodsb. Following a sequential cycle.c. Expanding complexity of analysis.d. Charting processes with control limits.

Solution: a. Replicating results through main effects and interaction effects.8. Full Factorial experiments with 2 levels of 3 factors will require how many trials?


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a. 8b. 9c. 6d. 4

Solution: a. 2^3 = 2 X 2 X 2 = 8 trials since in Full Factorial all trials must be run.

9. Confounding is defined bya. Mixing main effects and interaction effects of an experimentb. Complicating experimentsc. Reversing Average and Range data on control chartsd. Discovering the effects of an experiment.

Solution: a. Mixing main effects and interaction effects of an experiment.

10. The following definitions are correct except:a. A replication is a group of treatments and levels that indicates the required

experiments.b. Randomization is a technique to increase experimental validity.c. Treatments are the levels assigned to each factor.

d. Factors are studied for their impact on a process.

Solution: a. A block is a group of treatments, Replications are additional experiments to betterestimate experimental error.

11. The items are valid objectives for Design of Experiments except.a. Compliance to external standardsb. Comparativec. Screeningd. Optimization

Solution: a. Compliance to external standards is not a valid objective.


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1. A p-chart showing high levels of defectives can be improved by the following except:a. Applying 100% inspection.b. Revising the design.c. Revising the process.d. Substituting inferior materials and components with superior alternatives.

Solution: a. Applying 100% inspection will not improve quality, and is flawed by human error.

2. Control charts are necessary to:a. Identify process variation assignable to causes.b. Investigate root causes.c. Monitor operator productivityd. Demonstrate quality function deployment

Solution: a. Identify non-random process variation.

3. A special cause of process variation is:a. Assignable to a correctable problem.b. A normal event.c. Inherent in the process

d. Only changeable with corporate quality objectives

Solution: a. Assignable to a correctable problem, unlike common causes which are inherent.

4. Inherent process variation is distinct from all except:a. Common causesb. Piece to Piece variationc. Time to Time variationd. Product Spread

Solution: a. Common causes are inherent process variation which remains after other causes ofvariation are eliminated.

5. Rational subgrouping for variables charts commonly separatesa. Within time vs. Time to Time variationb. Within place vs. Place to Place variationc. Within operator vs. Operator to Operator variationd. Within piece vs. Piece to Piece variation

Solution: a. Within time vs. Time to Time variation. Rational Subgrouping manages time to affectshiftwork, process wear and tear, and inherent cycles.

6. The following items can identify Key Process Variables for analysis except:a. Corporate Quality Policyb. Design of Experimentsc. Customer Requirements

d. Statistical ANOVA methods

Solution: a. Corporate Quality Policy is too high level to be effective.

7. The D4 factor is used in Variables control charts toa. Calculate the Upper Control limitb. Calculate the Lower Control limitc. Define the levels for an experimental rund. Prevent confounding of Main Effects and Interaction Effects


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Solution: a. Calculate the Upper Control limit of the Range chart.

8. When analyzing a variables chart measuring Averages and Ranges, if Averages arewithin control and Ranges increase, there is a risk of:

a. The mean being out of controlb. The mean increasing over timec. The mean decreasing over timed. The mean trending closer to the center.

Solution: a. If the range increases, the spread of results is increasing to the point where X-barcould exceed the upper or lower control limit.

9. When analyzing a control chart and finding an out-of-control trend:a. Investigate the process for assignable causes.b. Maintain the status quoc. Immediately adjust the processd. Stop recording and switch to Pre-Control methods

Solution: a. Investigate the process.

10. Pre-Control charts offer the following advantages excepta. Permanent record of process controls for audit trailb. Application of customer specifications.c. Applicable for both attributes and variablesd. Simplicity and ease of use

Solution: a. Pre-control does not require recording of process adjustments.

11. Short run charts support the process by:a. Plotting and controlling small production runsb. Applying pre-controlc. Monitoring moving average and moving ranged. Preventing confounding of Main Effects and Interaction Effects.

Solution: a. Short run charts plot and control small production runs.

12. Measuring systems would need revisiting after improvements because.a. Lower variation will increase the need for precision.b. Compliance to external standardsc. Necessary prerequisite for Six Sigma certificationd. Measuring systems must be deactivated

Solution: a. Lower variation in the process will affect control limits, which will impair the ability todetect variation at an early stage.

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CSSGB Additional Questions I