An experiment is conducted to investigate the effect of 4 di

An experiment is conducted to investigate the effect of 4 different strengths of a chemical contained in a liquid cleaner for synthetic leather products. The investigators decide to use leather strips (15 cm long and 1 cm thick) from 3 types (A, B, & C) of synthetic leather. The four strengths of the chemical are taken as levels 0.5, 1, 2, and 4 and the leather bands(strips) are dipped in the chemicals for 30 minutes and the shrinkage amount is measured (in micro meters) for each strip of leather. For a given type of synthetic leather, each strip of leather band was cut out from the same roll of leather (e.g. all leather strips from type A was cut out from one roll of type A synthetic leather). The data is given below.

(a) The investigators are considering the use of an ANOVA model to check whether the mean shrinkage length for each type of chemical is the same. Do you have any objections to the use of an ANOVA model for the data? If any, state clearly.

(b) Now assume that you can carry out an ANOVA model on the data.

i. Determine whether there is a difference in the mean shrinkage lengths for the 4 different strengths of the chemical. If there is a difference, determine where the differences occur. Use a Bonferroni adjustment. (State and check all assumptions of your analysis).

ii. The general public can purchase the above liquid cleaner for synthetic leather with the strength of the chemical in level \"1\". Determine whether or not the mean shrinkage length for level \"1\" strength of the chemical is different from level \"2\" and level \"4\" strengths. (Appropriate weights for level \"2\" and level \"4\" can be obtained by taking the ratio of each level to level \"1\" as the weight for that level.)

(c) Now consider the fact that there are three different (A, B, & C) types of synthetic leather used in the experiment. The investigators are not interested in studying about the effects of having these 3 different types of leather in the experiment. Their paramount interest is in finding whether the different strengths of the chemical have different mean shrinkage lengths. Do you think it is good idea to ignore the effect of the different types of leather? If not, why? and how would you help them to adjust the design of the study? (Do not perform a statistical analysis for this. A brief (but clear) summary of your thoughts on the issue at hand is sufcient).

(e) Comment how the assumptions for a ANOVA model carry over to the assumptions of a linear regression model?

Type of Leather Concentration Shrunk Length
A 0.5 16.5
B 0.5 9
B 0.5 15
B 0.5 13.2
B 0.5 10.3
B 0.5 17
B 0.5 9.8
C 0.5 8
C 0.5 9.8
C 0.5 9.4
A 0.5 7.6
A 0.5 11.5
A 1 12.6
A 1 17.2
A 1 12.8
B 1 15.2
B 1 16.6
B 1 15.2
B 1 14.2
B 1 18
B 1 16
B 1 23.2
B 1 19
B 1 16.2
B 1 15
C 1 17
C 1 13
C 1 18.2
C 1 21.5
C 1 15.4
C 1 19
C 1 22.2
A 1 21
A 2 20.8
A 2 26.8
A 2 27.4
B 2 32
B 2 33.8
B 2 28.8
C 2 25.8
C 2 28.4
C 2 19
C 2 34
A 2 29
A 2 27.4
A 4 22.6
A 4 28.4
B 4 20
B 4 24.2
C 4 30
C 4 32
C 4 19.4
C 0.5 12
A 0.5 9.2
A 0.5 10.4
A 4 23.8
A 4 27
B 4 22
B 4 18
B 4 20
C 4 32.2
C 4 29.6

Solution

(a) No, I have not any objections to the use of an ANOVA model for the data

(b)

SUMMARY
Groups Count Sum Average Variance
Row 1 2 17 8.5 128
Row 2 2 8.1 4.05 25.205
Row 3 2 12 6 60.5
Row 4 2 13.6 6.8 67.28
Row 5 2 18.2 9.1 131.22
Row 6 2 13.8 6.9 69.62
Row 7 2 22 11 200
Row 8 2 22.8 11.4 176.72
Row 9 2 28.8 14.4 307.52
Row 10 2 29.4 14.7 322.58
Row 11 2 31 15.5 364.5
Row 12 2 29.4 14.7 322.58
Row 13 2 26.6 13.3 172.98
Row 14 2 32.4 16.2 297.68
Row 15 2 9.7 4.85 37.845
Row 16 2 10.9 5.45 49.005
Row 17 2 27.8 13.9 196.02
Row 18 2 31 15.5 264.5
Row 19 2 9.5 4.75 36.125
Row 20 2 15.5 7.75 105.125
Row 21 2 13.7 6.85 80.645
Row 22 2 10.8 5.4 48.02
Row 23 2 17.5 8.75 136.125
Row 24 2 10.3 5.15 43.245
Row 25 2 16.2 8.1 100.82
Row 26 2 17.6 8.8 121.68
Row 27 2 16.2 8.1 100.82
Row 28 2 15.2 7.6 87.12
Row 29 2 19 9.5 144.5
Row 30 2 17 8.5 112.5
Row 31 2 24.2 12.1 246.42
Row 32 2 20 10 162
Row 33 2 17.2 8.6 115.52
Row 34 2 34 17 450
Row 35 2 35.8 17.9 505.62
Row 36 2 30.8 15.4 359.12
Row 37 2 24 12 128
Row 38 2 28.2 14.1 204.02
Row 39 2 26 13 162
Row 40 2 22 11 98
Row 41 2 24 12 128
Row 42 2 8.5 4.25 28.125
Row 43 2 10.3 5.15 43.245
Row 44 2 9.9 4.95 39.605
Row 45 2 18 9 128
Row 46 2 14 7 72
Row 47 2 19.2 9.6 147.92
Row 48 2 22.5 11.25 210.125
Row 49 2 16.4 8.2 103.68
Row 50 2 20 10 162
Row 51 2 23.2 11.6 224.72
Row 52 2 27.8 13.9 283.22
Row 53 2 30.4 15.2 348.48
Row 54 2 21 10.5 144.5
Row 55 2 36 18 512
Row 56 2 34 17 338
Row 57 2 36 18 392
Row 58 2 23.4 11.7 118.58
Row 59 2 12.5 6.25 66.125
Row 60 2 36.2 18.1 397.62
Row 61 2 33.6 16.8 327.68
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 2041.656 60 34.0276 0.189442 1 1.530912
Within Groups 10956.81 61 179.6198
Total 12998.46 121
An experiment is conducted to investigate the effect of 4 different strengths of a chemical contained in a liquid cleaner for synthetic leather products. The in
An experiment is conducted to investigate the effect of 4 different strengths of a chemical contained in a liquid cleaner for synthetic leather products. The in
An experiment is conducted to investigate the effect of 4 different strengths of a chemical contained in a liquid cleaner for synthetic leather products. The in
An experiment is conducted to investigate the effect of 4 different strengths of a chemical contained in a liquid cleaner for synthetic leather products. The in

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