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Q1. In a study of processes used to remove impurities from cellulose goods ("Optimization of Rope-Range Bleaching of Cellulosic Fabrics," Textile Research J., 1976: 493-496), the following data resulted from a 24 experiment involving the desizing process. The four factors were enzyme concentration (A), pH (B), temperature (C), and time (D).

Treatment

Enzyme (g/L)

pH

Temp. (oC)

Time (hr)

Starch % by Weight

1st Repl.

2nd Repl.

(1)

.50

6.0

60.0

6

9.72

13.50

a

.75

6.0

60.0

6

9.80

14.04

b

.50

7.0

60.0

6

10.13

11.27

ab

.75

7.0

60.0

6

11.80

11.30

c

.50

6.0

70.0

6

12.70

11.37

ac

.75

6.0

70.0

6

11.96

12.05

bc

.50

7.0

70.0

6

11.38

9.92

abc

.75

7.0

70.0

6

11.80

11.10

d

.50

6.0

60.0

8

13.15

13.00

ad

.75

6.0

60.0

8

10.60

12.37

bd

.50

7.0

60.0

8

10.37

12.00

abd

.75

7.0

60.0

8

11.30

11.64

cd

.50

6.0

70.0

8

13.05

14.55

acd

.75

6.0

70.0

8

11.15

15.00

bcd

.50

7.0

70.0

8

12.70

14.10

abcd

.75

7.0

70.0

8

13.20

16.12

a. Use Yates's algorithm to obtain sums of squares and the ANOVA table.

b. Do there appear to be arry second-,third--, or forth-order interaction effects present? Explain you reasoning. Which main effects appear to be significant?

Q2. The following data on power consumption in electric furnace heats (kW consumed per ton of melted product) resulted from a 24 factorial experiment with three replicates ("Studies on a 10-cwt Arc Furnace," J. of the Iron and Steel Institute, 1956: 22). The factors were nature of roof (A low/high), power setting (B, low/high), scrap used (C, tube/plate), and charge (D, 700lb/1000 lb).

Treatment

xijklm

 

Treatment

xijklm

(1)

866, 862, 800

 

d

988, 808, 650

a

946, 800, 840

 

ad

966, 976, 876

b

774, 834, 746

 

bd

702, 658, 650

ab

709, 789, 646

 

abd

784, 700, 596

c

1017, 990, 954

 

cd

922, 808, 868

ac

1028, 906, 977

 

acd

1056, 870, 908

bc

817, 783, 771

 

bcd

798, 726, 700

abc

829, 806, 691

 

abcd

752, 714, 714

Construct the ANOVA table, and test all hypothesis of interest using α = .01.

Construct the ANOVA table, and test all hypotheses of interest using α = .01.

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