CSSBB Exam Questions
421 real CSSBB exam questions with expert-verified answers and explanations. Page 1 of 9.
- Question #1Organizational Process Management and Measures
The word "champion" in the context of Six Sigma projects refers to:
Six Sigma roleschampionproject governanceorganizational structure - Question #2Define Phase
George is an employee of Black, Inc. John is George's internal customer. Which statement is true?
internal customercustomer identificationvoice of customerstakeholders - Question #3Measure Phase
A team has been asked to reduce the cycle time for a process. The team decides to collect baseline data. It will do this by:
baseline datacycle timedata collectioncurrent state - Question #4Define Phase
Customer segmentation refers to:
customer segmentationvoice of customercustomer classificationmarket segmentation - Question #5Define Phase
This is an example of part of a:
QFD matrixquality function deploymentcustomer requirementshouse of quality - Question #6Improve Phase
A quality engineer employed by a hospital is asked to improve the process of medication storage in locked cabinets near patient doors. One defect that occurs rarely is that the med...
poka yokeerror proofingmistake proofingdefect prevention - Question #7Define Phase
Customer requirement #3 has a ______________ relationship with technical feature #3.
QFD relationship matrixtechnical featurescustomer requirementsrelationship strength - Question #8Analyze Phase
A team is investigating ways to reduce power outages. They determine that an outage can occur in only three ways: grid failure, local transformer failure or local overload. They th...
tree diagramfault analysisroot cause analysisseven management tools - Question #9Analyze Phase
A team's goal is to improve information flow in a payroll function. They make thirty-three Post-It® notes, each listing an issue for further investigation. After some discussion, t...
affinity diagrambrainstormingissue categorizationseven management tools - Question #10Analyze Phase
The team in the above problem draws arrows from Post-It?notes that are causes to notes that are the effects of these causes. This step is best described by which approach to proble...
interrelationship digraphcause-effect relationshipsseven management toolsroot cause analysis - Question #11Improve Phase
A team working with a plant relocation is tasked with designing a process for moving 180 pieces of equipment. Incoming orders may need to be filled during the move at either the ol...
PDPCcontingency planningrisk managementseven management tools - Question #12Analyze Phase
A management team lists nine goals across the top of a rectangle and 15 activity initiatives along the left hand side of the rectangle. If one of the activities strongly supports o...
matrix diagramgoals vs activitiesseven management toolsrelationship mapping - Question #13Analyze Phase
The management team in the above problem assigns each goal a numerical value designating its importance. The "bulls eyes," circles and triangles are replaced by the values 3, 2 and...
prioritization matrixweighted scoringdecision makingseven management tools - Question #14Define Phase
A project that lacks a clear definition of its scope and boundaries runs the risk of:
project scopescope creepproject charterproject boundaries - Question #15Define Phase
The primary metric for a project is reduced cost for process A .A consequential metric could be:
consequential metricsprimary metricsproject metricsperformance measurement - Question #16Measure Phase
The primary metric for a project is reduced cost for process A . Baseline data might include:
baseline datacost metricsdata collectioncurrent performance - Question #17Measure Phase
According to the Central Limit Theorem:
Central Limit Theoremsampling distributionstatistical inferencenormal distribution - Question #18Measure Phase
The term "expected value" is closest to the term:
expected valuemeanprobabilitydescriptive statistics - Question #19Measure Phase
A random sample is selected from a population of measurements. The mean of the sample is not equal to the mean of the population. This is due to:
sampling errorsample meanpopulation meanrandom sampling - Question #20Measure Phase
A population of size 1,000,000 has mean 42 and standard deviation 6. Sixty random samples, each of size 15 are selected. According to the Central Limit Theorem the distribution of...
Central Limit Theoremsample mean distributionsampling distributionstandard error - Question #21Measure Phase
A population of size 1,000,000 has mean 42 and standard deviation 6. Sixty random samples, each of size 15 are selected. According to the Central Limit Theorem the distribution of...
Central Limit Theoremstandard errorsampling distributionsample means - Question #22Measure Phase
A ____ from a sample is used to estimate a population _____. The two words that best fill these blanks are:
statistics terminologysample statisticpopulation parameter - Question #23Measure Phase
Deming called the technique of studying a sample to gain understanding of the distribution of a population an "enumerative study." His main objection to these studies was:
Demingenumerative studystable distributionsampling assumptions - Question #24Analyze Phase
A team wants a technique for obtaining a large number of possible reasons for excess variation in a dimension. They should use:
cause and effect diagramfishbone diagramroot cause analysisvariation sources - Question #25Measure Phase
The Central Limit Theorem states that the distribution of sample means approximates a normal distribution if:
Central Limit Theoremsample sizenormal approximationsampling - Question #26Analyze Phase
A machine tool vender wants to sell an injection molding machine. The current machine produces 3.2% defectives. A sample of 1100 from the vender 's machine has 2.9% defective. Do t...
hypothesis testingproportion testdefect rateone-tailed test - Question #27Analyze Phase
An engineer wants to try two hardening ovens to see whether they have different hardness scores. She cuts 8 pieces of bar stock in half, putting half of each in oven A and the othe...
paired t-testhypothesis testingtwo-sample comparisonhardness testing - Question #28Analyze Phase
When comparing two vendors' machines it is found that a sample of 1000 parts from machine A has 23 defectives and a sample of 1300 parts from machine B has 36 defectives. Do the da...
two-proportion z-testhypothesis testingdefect rate comparisonvendor comparison - Question #29Measure Phase
SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated...
variation analysiswithin-sample variationmeasurement patternsdata interpretation - Question #30Analyze Phase
The Toronto plant produces appliances in the following distribution: Type A 23% Type B 42% Type C 35% A random sample of 300 appliances from the Texas plant has the following distr...
chi-square testgoodness of fitdistribution comparisonhypothesis testing - Question #31Measure Phase
SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated...
variation analysissample-to-sample variationdata visualizationprocess improvement - Question #32Measure Phase
SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated...
variation analysishour-to-hour variationtemporal patternsdata interpretation - Question #33Analyze Phase
SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated...
correlation coefficientcoefficient of determinationregression analysislinear correlation - Question #34Improve Phase
A pharmaceutical manufacturer is designing an experiment to test four different capsule ingredients designed to reduce dissolution time. Each ingredient will be tested at 10 millig...
full factorial designDOEfactor levelsexperimental runs - Question #35Analyze Phase
SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated...
linear regressionregression equationleast squaresslope intercept - Question #36Improve Phase
(Refer to the previous problem) The variance of the five replications for each run is calculated. Most of these variances are approximately equal but two are significantly lower th...
robustness optimizationvariance minimizationDOETaguchi methods - Question #37Improve Phase
(Refer to the previous problem) To estimate the within treatment variance the experimenters would calculate the variances of:
within-treatment variancereplicationexperimental designvariance estimation - Question #38Improve Phase
An experiment has seven factors with two levels each. The experiment has eight runs. This experimental design is called:
fractional factorial designDOEexperimental design classificationresolution - Question #39Improve Phase
The principle disadvantage of fractional factorial experiments is that:
fractional factorialconfoundingaliasingDOE limitations - Question #40Improve Phase
In a resolution III fractional factorial experimental design, main effects are confounded with:
resolution IIIconfoundingmain effectstwo-factor interactions - Question #41Measure Phase
A stable, normally distributed process with specification 3.50 .03 has = 3.51 and = .016. What percent of the production violates specification?
process capabilitynormal distributionspecification limitspercent defective - Question #42Measure Phase
Find Cp and Cpk.
CpCpkprocess capability indicesspecification limits - Question #43Measure Phase
The following data were collected on the diameters of turned shafts: 2.506 2.508 2.505 2.505. These values are:
variable dataattribute datameasurement typesshaft diameter - Question #44Analyze Phase
Calculate the main effect of factor A (i. e. A+ ?A?).
main effectsDOEfactorial designfactor levels - Question #45Analyze Phase
A higher resolution number for an experimental design indicates that:
experimental design resolutionconfoundingmain effectsinteraction effects - Question #46Analyze Phase
Intuitively, which factor A or B seems most likely to be significant?
DOEfactor significancemain effectsgraphical analysis - Question #48Analyze Phase
The preferred method for determining statistically whether factor A or B is significant requires what additional information?
statistical significancereplicate runsDOEhypothesis testing - Question #49Analyze Phase
Calculate the interaction effect
interaction effectDOEfactorial designeffect calculation - Question #50Analyze Phase
Find the value of (2) in the ANOVA table. Assume:
ANOVA tablemean squareDOEvariance estimation - Question #51Analyze Phase
Find the value of (3) in the ANOVA table. Assume:
ANOVA tableF-ratioDOEhypothesis testing