My project topic is: popping time of 2 different cornes. In this project we did the quiz before attempting the project and in this we discussed the approach of over

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My project topic is: popping time of 2 different cornes.

In this project we did the quiz before attempting the project and in this we discussed the approach of over project with a series of answers. Please look over the quiz carefully. Our project topic is: poping time of 2 different cornes and in this we take factors such as temperature and different medium heating design. I think this is 2k factorial design. I need 5 pages report with full analysis.

Each student is required to perform and analyze an experiment using the techniques that have been discussed in class. It is not required that the experiment is complex but it is required that you show a good understanding of experimental design. Choose a topic that is of interest to you.

The expectations are:

1) The project report is clear and well structured. It has a clear definition of the experimental objectives and culminates with practical conclusions and recommendations. In particular all issues that were encountered are summarized along with recommendations for future experiments.

2) The response variable that is chosen is objective and measurable. There must also be a clear operational definition of the response.

3) A “recipe” for experimentation is followed. This will help ensure that the experiment has been properly planned and increase chances of success. Quiz 3 has been created to help guide you in this.

4) Topics such as randomization and blocking have been considered.

As necessary, check-in with faculty during the execution of this project, however be aware that faculty guidance will be limited to providing references to help address any issues and broad suggestions – this is your project.

75% of the assigned mark will be based on the execution of the project (as demonstrated by your approach, analysis, conclusions and recommendations) and 25% of the assigned mark will be based on the quality of the submitted report. Make sure that the report is well-structured, all graphs and tables are clearly identified and no superfluous Minitab output is included (superfluous output is session window contents that add no value, or are not adequately discussed or referenced in the report!).

In your report you will also be expected to provide images of the experimental set up

Open file Etchrate

How many corner points were run in the experiment? 8

How many center points? Ans 8

How many blocks? Ans 1

1. Analyze the data for RateA and answer the following:

2. What is the reduced model using a bottom-up approach? ABC

3. What is the yield when Temp=190, Spray=100 and Conc=0.3? 8.24

4. What process configuration do you recommend to maximize Rate A? Factorial Plot

5. What is the maximum possible yield?

Repeat 1 – 5 for RateB

Sheet1

Conc. Cat. A B AB Yield (Y-Y-bar)^2 A*Yield B*Yield AB*Yield Fit. Value Residual
15 1 -1 -1 1 28 0.25 -28 -28 28 26.67 1.33
25 1 1 -1 -1 36 72.25 36 -36 -36 33.33 2.67
15 2 -1 1 -1 18 90.25 -18 18 -18 20.00 -2.00
25 2 1 1 1 31 12.25 31 31 31 30.00 1.00
15 1 -1 -1 1 25 6.25 -25 -25 25 26.67 -1.67
25 1 1 -1 -1 32 20.25 32 -32 -32 33.33 -1.33
15 2 -1 1 -1 19 72.25 -19 19 -19 20.00 -1.00
25 2 1 1 1 30 6.25 30 30 30 30.00 0.00
15 1 -1 -1 1 27 0.25 -27 -27 27 26.67 0.33
25 1 1 -1 -1 32 20.25 32 -32 -32 33.33 -1.33
15 2 -1 1 -1 23 20.25 -23 23 -23 20.00 3.00
25 2 1 1 1 29 2.25 29 29 29 30.00 -1.00
Contrast 323 50 -30 10 Y = 27.5 + 4.17*A -2.5*B + 0.83* A*B
Eff(A) 8.3333333333 n 6 DF SS MS F P-value
Eff(B) -5 Effect 8.3333333333 -5 1.6666666667 A 1 208.33 208.33 53.19 0.000
Eff(AB) 1.6666666667 Coefficient 4.17 -2.50 0.83 B

STudent Assigned Data Set

Assigned Data Set Student Name
1 Babu Hussain Sherriff, Ahmed Ibraheem
2 Beant Kaur, Beant Kaur
3 Clement, Nimisha
4 Darwandar, Anup
5 Fonseca Baptista Filho, Almir
6 Jose, Akhil
7 Koshiya, Sahaj Rajeshkumar
8 Madakayi, Rahul
9 Mahendran, Dinesh
10 Patel, Dhruvkumar Dipakbhai
11 Patel, Harshkumar Prakashbhai
12 Patel, Priyanshu Deepakkumar
13 Renjan, Nilok Amrth
14 Sangani, Kevin Rasikbhai
15 Shah, Devarsh
16 Shahid, Hasan
17 Sharma, Ashish Kumar
18 Sharma, Bhanuj
19 Sikriwal, Utkarsh
20 Sindhava, Jeet Ketan
21 Singh, Sukhwinder
22 Taja, Mohamed Abbas
23 Tejani, Pranav Babubhai
24 Varghese, Eldho

Data Set 1

AA

Assignment-2 2K factorial Design experiment.

Pro: Florence Lacaze Gould

Introduction:

From the given data on 2 factorial there are 2 levels and 5 factors with 3 replicates as the total reading are 96. The analysis is carried out in Minitab for maximum effect of factors on the chemical. After the analysis the results will be determined at the end of the analysis.

Model Summary

S

R-sq

R-sq(adj)

R-sq(pred)

2.79482

62.52%

57.10%

49.86%

Before reduction of ANOVA table:

Analysis of Variance

Source

DF

Adj SS

Adj MS

F-Value

P-Value

Model

31

1220.21

39.362

4.94

0.000

Linear

5

748.47

149.693

18.80

0.000

G

1

95.71

95.712

12.02

0.001

H

1

155.04

155.042

19.47

0.000

I

1

221.17

221.167

27.77

0.000

J

1

103.57

103.568

13.01

0.001

K

1

172.98

172.978

21.72

0.000

2-Way Interactions

10

183.25

18.325

2.30

0.022

G*H

1

6.89

6.887

0.86

0.356

G*I

1

0.41

0.412

0.05

0.821

G*J

1

32.33

32.332

4.06

0.048
My project topic is: popping time of 2 different cornes. In this project we did the quiz before attempting the project and in this we discussed the approach of over project with a series of answers. Please look over the quiz carefully. Our project topic is: poping time of 2 different cornes and in this we take factors such as temperature and different medium heating design. I think this is 2k factorial design. I need 5 pages report with full analysis. Each student is required to perform and analyze an experiment using the techniques that have been discussed in class. It is not required that the experiment is complex but it is required that you show a good understanding of experimental design. Choose a topic that is of interest to you. The expectations are: 1) The project report is clear and well structured. It has a clear definition of the experimental objectives and culminates with practical conclusions and recommendations. In particular all issues that were encountered are summarized along with recommendations for future experiments. 2) The response variable that is chosen is objective and measurable. There must also be a clear operational definition of the response. 3) A “recipe” for experimentation is followed. This will help ensure that the experiment has been properly planned and increase chances of success. Quiz 3 has been created to help guide you in this. 4) Topics such as randomization and blocking have been considered. As necessary, check-in with faculty during the execution of this project, however be aware that faculty guidance will be limited to providing references to help address any issues and broad suggestions – this is your project. 75% of the assigned mark will be based on the execution of the project (as demonstrated by your approach, analysis, conclusions and recommendations) and 25% of the assigned mark will be based on the quality of the submitted report. Make sure that the report is well-structured, all graphs and tables are clearly identified and no superfluous Minitab output is included (superfluous output is session window contents that add no value, or are not adequately discussed or referenced in the report!). In your report you will also be expected to provide images of the experimental set up Open file Etchrate How many corner points were run in the experiment? 8 How many center points? Ans 8 How many blocks? Ans 1 1. Analyze the data for RateA and answer the following: 2. What is the reduced model using a bottom-up approach? ABC 3. What is the yield when Temp=190, Spray=100 and Conc=0.3? 8.24 4. What process configuration do you recommend to maximize Rate A? Factorial Plot 5. What is the maximum possible yield? Repeat 1 – 5 for RateB Sheet1 Conc. Cat. A B AB Yield (Y-Y-bar)^2 A*Yield B*Yield AB*Yield Fit. Value Residual 15 1 -1 -1 1 28 0.25 -28 -28 28 26.67 1.33 25 1 1 -1 -1 36 72.25 36 -36 -36 33.33 2.67 15 2 -1 1 -1 18 90.25 -18 18 -18 20.00 -2.00 25 2 1 1 1 31 12.25 31 31 31 30.00 1.00 15 1 -1 -1 1 25 6.25 -25 -25 25 26.67 -1.67 25 1 1 -1 -1 32 20.25 32 -32 -32 33.33 -1.33 15 2 -1 1 -1 19 72.25 -19 19 -19 20.00 -1.00 25 2 1 1 1 30 6.25 30 30 30 30.00 0.00 15 1 -1 -1 1 27 0.25 -27 -27 27 26.67 0.33 25 1 1 -1 -1 32 20.25 32 -32 -32 33.33 -1.33 15 2 -1 1 -1 23 20.25 -23 23 -23 20.00 3.00 25 2 1 1 1 29 2.25 29 29 29 30.00 -1.00 Contrast 323 50 -30 10 Y = 27.5 + 4.17*A -2.5*B + 0.83* A*B Eff(A) 8.3333333333 n 6 DF SS MS F P-value Eff(B) -5 Effect 8.3333333333 -5 1.6666666667 A 1 208.33 208.33 53.19 0.000 Eff(AB) 1.6666666667 Coefficient 4.17 -2.50 0.83 B STudent Assigned Data Set Assigned Data Set Student Name 1 Babu Hussain Sherriff, Ahmed Ibraheem 2 Beant Kaur, Beant Kaur 3 Clement, Nimisha 4 Darwandar, Anup 5 Fonseca Baptista Filho, Almir 6 Jose, Akhil 7 Koshiya, Sahaj Rajeshkumar 8 Madakayi, Rahul 9 Mahendran, Dinesh 10 Patel, Dhruvkumar Dipakbhai 11 Patel, Harshkumar Prakashbhai 12 Patel, Priyanshu Deepakkumar 13 Renjan, Nilok Amrth 14 Sangani, Kevin Rasikbhai 15 Shah, Devarsh 16 Shahid, Hasan 17 Sharma, Ashish Kumar 18 Sharma, Bhanuj 19 Sikriwal, Utkarsh 20 Sindhava, Jeet Ketan 21 Singh, Sukhwinder 22 Taja, Mohamed Abbas 23 Tejani, Pranav Babubhai 24 Varghese, Eldho Data Set 1 AA Assignment-2 2K factorial Design experiment. Pro: Florence Lacaze Gould Introduction: From the given data on 2 factorial there are 2 levels and 5 factors with 3 replicates as the total reading are 96. The analysis is carried out in Minitab for maximum effect of factors on the chemical. After the analysis the results will be determined at the end of the analysis. Model Summary S R-sq R-sq(adj) R-sq(pred) 2.79482 62.52% 57.10% 49.86% Before reduction of ANOVA table: Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Model 31 1220.21 39.362 4.94 0.000 Linear 5 748.47 149.693 18.80 0.000 G 1 95.71 95.712 12.02 0.001 H 1 155.04 155.042 19.47 0.000 I 1 221.17 221.167 27.77 0.000 J 1 103.57 103.568 13.01 0.001 K 1 172.98 172.978 21.72 0.000 2-Way Interactions 10 183.25 18.325 2.30 0.022 G*H 1 6.89 6.887 0.86 0.356 G*I 1 0.41 0.412 0.05 0.821 G*J 1 32.33 32.332 4.06 0.048

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