1. Since experimentations are always subject to errors, what techniques are employed toneutralize the effects of these errors in the accuracy and validity of the experiment?2. Why is the "factorial experiment" better in any way than a "one-factor-at-a-time"approach?3. True or False: As soon as the experimental data (measurements) are obtained, theexperimenter can already proceed with the usual significance testing. Explain.4. What is "hypothesis testing"? How is it performed?5.What makes ANOVA a powerful tool in hypothesis testing?What happens if you use a 2k full Factorial design to explore a set of variables which isknown to have a non-linear response?6. When is the addition of center points to a 2k full factorial design beneficial? Give aparticular case that warrants its use.7. In practical terms, explain how a LOW p-value connote SIGNIFICANCE (Recall that thesmaller the p-value is, the more significant the factor becomes)?

Given question: Since experiments are always subjected to errors, what techniques are employed to…

Answered: 1. Since experimentations are always…

1. Since experimentations are always subject to errors, what techniques are employed to neutralize the effects of these errors in the accuracy and validity of the experiment?

Elements Of Electromagnetics

7th Edition

ISBN:9780190698614

Author:Sadiku, Matthew N. O.

Publisher:Sadiku, Matthew N. O.

ChapterMA: Math Assessment

Section: Chapter Questions

Problem 1.1MA

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Question

100%

1. Since experimentations are always subject to errors, what techniques are employed to
neutralize the effects of these errors in the accuracy and validity of the experiment?
2. Why is the "factorial experiment" better in any way than a "one-factor-at-a-time"
approach?
3. True or False: As soon as the experimental data (measurements) are obtained, the
experimenter can already proceed with the usual significance testing. Explain.
4. What is "hypothesis testing"? How is it performed?
5.What makes ANOVA a powerful tool in hypothesis testing?
What happens if you use a 2k full Factorial design to explore a set of variables which is
known to have a non-linear response?
6. When is the addition of center points to a 2k full factorial design beneficial? Give a
particular case that warrants its use.
7. In practical terms, explain how a LOW p-value connote SIGNIFICANCE (Recall that the
smaller the p-value is, the more significant the factor becomes)?

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