Lecture 5/6

Question 1

What are the two common mistakes of variation

Answer 1

1. Mistaking a common cause of variation for a special cause
2. Failing to identify special causes of variation

Question 2

What are the 2 factors in for a DoE?

Answer 2

the assumptions composing a model, and the input parameters.

Question 3

What is the responses for a DoE?

Answer 3

The output performance measures

Question 4

What are the 4 reasons to for why to use Experimental Design process?

Answer 4

1. Gives a structured plan
   2.Better efficiency
2. Integrates/meshes with powerful analysis tools
3. Forces experimenter to organize

Question 5

What is the procedure for an experiment design? (7 Steps)

Answer 5

1. Hypothesisse a model for the analysis of variance
2. Specifiy the number of replications for each combination
3. Determine the parameters of the model
4. Estimate the error terms
5. Ascertain the joints effects of the various factors
6. Judge significance of each facotr
7. Calculate the estimates of the system parameters

Question 6

What is 2K Factorial Designs?

Answer 6

Changing one factor at a time for an experiment

Question 7

What are the main problems with 2K Factorial Design?

Answer 7

Inefficient, and gives no indication of interaction between factors

Question 8

What does it mean when factors interact in 2k Factorial Designs?

Answer 8

When one factor at a particular level is affected by the levels of other factors

Question 9

What does 2k factorial designs measure?

Answer 9

The interactions among K factors, each of which has two levels (settings)

Question 10

What do two parallel lines on an interaction plot show?

Answer 10

There is no interaction between the two factors

Question 11

What do two crossing lines on an interaction plot show?

Answer 11

That increasing one factor by itself gives a better response