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LSSMBB – Lean Six Sigma Master Black Belt

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Showing 4–6 of 15 questions

Question 4

If an experiment has 5 factors and no replicates for a 2-level Experimental Design with 16 experimental runs which statement(s) are correct? (Note: There are 3 correct answers).

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    The Main Effects for the 5 factors are not aliased or confounded but the 2-way interactions are confounded with the 3-way interactions
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    The Main Effects are confounded with only 4-way interactions
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    The Experimental Design is half-fractional
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    The experiment has 8 experimental runs with the first factor at the high level
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    The experiment has only 4 experimental runs with the 5th factor at the high level
Question 5

For the data shown here which statement(s) are true? (Note: There are 2 correct answers).

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    With 95% confidence, we cannot conclude if the samples are from three Normal Distributions.
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    With greater than 95% confidence, we conclude the samples are from Non-normal Distributions.
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    If we wanted to compare the Central Tendencies of these three samples we would use the one way ANOVA test.
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    If we wanted to compare the Central Tendencies of these three samples we could use Mood’s Median test.
Question 6

Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).

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    The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
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    General Regression Analysis deals only with Continuous Data
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    Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions
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    SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
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    A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation