If the Sum of Squares of treatments is 100, the group size is 25 and number of treatments is five, the Mean Squares of error is
OPTIONS 20 5 25 15 ANSWER 5 EXPLANATION Mean Squares = Sum Squares/Degrees of freedom, so 5 is correct.
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Category: LSSBB/ Lean Six Sigma Black Belt
Home » Certification Exams Questions » Archive by category "LSSBB/ Lean Six Sigma Black Belt" (Page 22)
Which of the techniques below helps you to understand and distinguish between within runs variability and between runs variability?
OPTIONS Replication Randomization Coding Blocking ANSWER REPLICATION EXPLANATION Replication helps you to understand the difference between the different variances.
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If the main effect of Factor A on the response is 2.5, what does it show
OPTIONS Factor A decreases response by 2.5 Factor A increases response by 2.5 Response increases factor A by 2.5 Response decreases factor A by 2.5 ANSWER Factor A increases response by 2.5 EXPLANATION A main effect showing up as X indicates the impact of the...
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If Factor A affecting response scores at one level are 60,60,61 and 62 and factor A affecting response scores at level two are 60,58,59,60, the main effect is
OPTIONS PositiveNegativeNegligibleNone of the above ANSWER Positive EXPLANATION Using standard calculations for main effect, POSITIVE is correct
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What is the best statistically validated condition when the Black Belt can accept the fit on the data he has conducted experiments on?
OPTIONS Goodness of fit p-value is less than 0.05Goodness of fit p-value is more than 0.05Scaled residuals are in the range 0 and -1The Normal Plots are approximately linear ANSWER Goodness of fit p-value is more than 0.05 EXPLANATION The best statistically validated conditions can...
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Which of the below mentioned designs are normally considered the best to be used in practical applications for factors greater than 4?
OPTIONS Full Factorial Half fractional Factorial Resolution V designs Resolution IV Designs ANSWER Resolution V designs EXPLANATION For factors greater than 4, Resolution V designs work best.
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For conclusions that need to be drawn from an experiment to be treated absolutely valid and non-confusing, which one of the following techniques must be implemented?
OPTIONS Blocking Randomization Replication Coding ANSWER Randomization EXPLANATION For the validity of a designed setup, it is important the experiment is randomized and so Randomization is correct.
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Error that occurs due to natural variation in the process is known as
OPTIONS Pure variation Random variation Lack of fit variation Extraneous variation ANSWER Random variation EXPLANATION Natural variations in a process is always known as Random variation so Random variation is correct.
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Using which technique can you separate the experimental error into Pure error and Lack of Fit error
OPTIONS Blocking Randomization Replication Coding ANSWER Replication EXPLANATION By replication we can partition the experimental error and get an accurate estimate, so Replication is correct.
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Every level of one factor occurs with every level of another factor in an experiment. The factors are said to be
OPTIONS Fixed Crossed Nested None of the above ANSWR Crossed EXPLANATION This type of a condition mentioned in the question can happen only with crossed factors, so Crossed is correct.
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