HW8 Chapter 11, Section 11.1,

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2p factorial experiments. Read the description of the study in Exercise 40 (Chapter 11, Section 11.1, “In a study of processes used to remove impurities …”). An ANOVA table for analyzing the dataset is given below. Follow the instructions below. Source DF SS MS F P-Value A 1 0.168 0.168 0.08 0.788 B 1 1.940…

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  1. 2p factorial experiments. Read the description of the study in Exercise 40 (Chapter 11, Section 11.1, “In a study of processes used to remove impurities …”). An ANOVA table for analyzing the dataset is given below. Follow the instructions below.

Source

DF

SS

MS

F

P-Value

A

1

0.168

0.168

0.08

0.788

B

1

1.940

1.940

0.87

0.366

C

1

8.161

8.161

3.64

0.074

D

1

13.082

13.082

5.84

0.028

A*B

1

3.419

3.419

1.53

0.235

A*C

1

0.263

0.263

0.12

0.736

A*D

1

0.911

0.911

0.41

0.533

B*C

1

0.738

0.738

0.33

0.574

B*D

1

0.781

0.781

0.35

0.563

C*D

1

6.771

6.771

3.02

0.101

A*B*C

1

0.020

0.020

0.01

0.926

A*B*D

1

0.775

0.775

0.35

0.565

A*C*D

1

0.622

0.622

0.28

0.606

B*C*D

1

1.758

1.758

0.78

0.389

A*B*C*D

1

0.004

0.004

0.00

0.967

Error

16

35.851

2.241

Total

31

75.264

  1. Identify the effects (main and interactions) that are significant at the =0.10 level.

  1. Compute the coefficient of determination R2 and give a brief interpretation. (See Formula 11K and pages L-71 to L-72) of lecture notes.)

  1. Computed R2adj, the adjusted R2, (See Formula 11K and pages L-71 to L-72) of lecture notes.)

  1. Assume that only the main and interaction effects of C and D are important (two-way interaction model). Complete the ANOVA table below in this case.

Source

DF

SS

MS

F

P-Val

C

1

8.161

8.161

?

0.036

D

?

?

?

?

0.010

C*D

1

6.771

6.771

?

0.055

Error

?

?

?

Total

31

75.264

Hint: You can derive the missing values from the previous ANOVA table.

  1. Compute R2adj for the ANOVA table in part (d).

  1. Assume that only the main effects of C and D (two-way additive model) are important. Below is the corresponding ANOVA table. Compute R2adj

Source DF SS MS P-val

C 1 8.1608 8.1608 4.38 0.045

  1. 1 13.0816 13.0816 7.02 0.013 Error 29 54.0214 1.8628

Total 31 75.2638

    1. Based on the R2adj values, which of the 3 fitted models do you prefer? Give a short explanation for your choice.

  1. A Fractional Factorial Design. In a study of p=5 factors with two levels each, only 8 different combinations of levels of A, B, C, D, and E will be run (i.e. q=2 and the experiment is a quarter fractional). Use A, B, D as the independent factors and with generators

C = ABD and E = AD

  1. List out the 8 treatments will be run.

  1. Which treatments, used in the experiment, have all of B and D at their low levels?

  1. What effects will be aliased with the A main effect?

HW8 Chapter 11, Section 11.1,
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