Difference in step-loss function and taguchi loss function

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Please write one or two lines in words for each question.

Give one example that illustrates each of the following quality characteristic.

Smaller-the-better:

Nominal-the-best:

Larger-the-better:

What is the main conceptual difference between the step-loss function and the Taguchi loss function?

Define the one-factor-at-a-time approach.

What did you learn from the Firestone Progress Report?

Why do we need to maintain several key factors in factorial designs? In other words, what would be the potential problem when we use a large number of factors?

Why is designing experiments necessary prior to the actual experiment?

Why is the randomization concept critical in design of experiments?

Briefly discuss the three assumptions associated with design of experiments.

Revisiting the previous question, how do you check if each assumption is met?

When do you need a multiple comparison test?

We studied the CRD (completely randomized design), RCBD (randomized complete block design), and LSD (Latin square design). Describe in words the main situational motivation behind each design.

Reference no: EM131686477

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