Tag: LSSBB Exam

OPTIONS PositiveNegativeNegligibleNone of the above ANSWER Positive EXPLANATION Using standard calculations for main effect, POSITIVE is correct

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...

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.

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.

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.

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.

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.

OPTIONS Pure error and Lack of Fit error Noise and Reproducibility Common and Special Causes Causal and Lack of Fit error ANSWER Pure error and Lack of Fit error EXPLANATION DOE setups and coefficients analysis help one to understand the Pure error and lack of...

OPTIONS The design got randomized The design got blocked The design experienced confounding The design got unbalanced ANSWER The design experienced confounding EXPLANATION When main effect comes from higher order interactions, example A + BCD, confounding is said to have occurred, so THE THIRD OPTION...

OPTIONS Blocking Randomization Replication Coding ANSWER Replication EXPLANATION Replication helps to estimate experimental error.