Question: Questions 3 through 12 are based on the description below. Conductivity of electrical components are measured after application of different coating materials (Hicks, 1973). The

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Questions 3 through 12 are based on the description below. Conductivity of electrical components are measured after application of different coating materials (Hicks, 1973). The interest is focused on evaluating differences among 4 types of coatings, C1, C2, C3, and C4. The different coatings were assigned to components in a completely randomized design (CRD), with 5 replications of each coating. Step 1: Use the following SAS program, which includes columns for the indicator (or 'dummy') coded variables (ic1 ic2 ic3) and the effect coded variables (ec1 ec2 ec3) to read the data. The SAS code fragments below can be copied and pasted directly to your SAS program editor and run. data hicks; input trt $ resp ici ic2 ic3 ect ec2 ec3; /* ic-indicator coding ec-effect coding */ datalines; c1 56 1 0 1 c1 55 1 0 1 0 0 c1 62 1 0 0 1 c1 59 1 0 0 1 0 0 c1 60 1 1 0 c2 64 1 1 0 c2 61 0 1 0 0 1 c2 50 0 1 0 0 1 c2 55 0 1 1 0 c2 56 0 1 0 0 1 0 3 45 0 0 1 0 1 3 46 0 0 1 0 0 1 3 45 1 1 3 37 0 0 1 0 1 C3 43 0 1 0 0 1 C4 42 0 0 0 -1 -1 c4 39 0 0 -1 -1 c4 45 0 -1 - 1 04 43 0 0 0 -1 -1 C4 41 0 - 1 -1 -1 -1 -1 -1 -1 run; Use the proc summary command to compute the means. Use your output to complete the table below. Use the proc summary command to compute the means. Use your output to complete the table below. Obs trt TYPE FREQ_ resp 20 1 0 50.2 2c1 1 5 58.4 302 It Estimate Error Intercept 1 lec1 1 ec2 1 ec3 1 The intercept in the table of parameter estimates obtained here is the same as the one from the Summary procedure in Step 1 above (in question 3). Identify whether this is a true statement or not. O True O False Below are the parameter estimates obtained from the effects coding model in questions 9 and 10. Parameter Estimates Parameter Estimate Standard Error Variable DF t Value Pr > It| Intercept 1 50.20000 0.83815 59.89 <.0001 ec1 ec2 ec3 investigate the parameter estimates shown in table above for effects coding equation alsm answer following questions based on your observations. what does intercept estimate using question how would you compute estimated treatment group show work clearly. edit view insert format tools v paragraph bi u av tv> Questions 3 through 12 are based on the description below. Conductivity of electrical components are measured after application of different coating materials (Hicks, 1973). The interest is focused on evaluating differences among 4 types of coatings, C1, C2, C3, and C4. The different coatings were assigned to components in a completely randomized design (CRD), with 5 replications of each coating. Step 1: Use the following SAS program, which includes columns for the indicator (or 'dummy') coded variables (ic1 ic2 ic3) and the effect coded variables (ec1 ec2 ec3) to read the data. The SAS code fragments below can be copied and pasted directly to your SAS program editor and run. data hicks; input trt $ resp ici ic2 ic3 ect ec2 ec3; /* ic-indicator coding ec-effect coding */ datalines; c1 56 1 0 1 c1 55 1 0 1 0 0 c1 62 1 0 0 1 c1 59 1 0 0 1 0 0 c1 60 1 1 0 c2 64 1 1 0 c2 61 0 1 0 0 1 c2 50 0 1 0 0 1 c2 55 0 1 1 0 c2 56 0 1 0 0 1 0 3 45 0 0 1 0 1 3 46 0 0 1 0 0 1 3 45 1 1 3 37 0 0 1 0 1 C3 43 0 1 0 0 1 C4 42 0 0 0 -1 -1 c4 39 0 0 -1 -1 c4 45 0 -1 - 1 04 43 0 0 0 -1 -1 C4 41 0 - 1 -1 -1 -1 -1 -1 -1 run; Use the proc summary command to compute the means. Use your output to complete the table below. Use the proc summary command to compute the means. Use your output to complete the table below. Obs trt TYPE FREQ_ resp 20 1 0 50.2 2c1 1 5 58.4 302 It Estimate Error Intercept 1 lec1 1 ec2 1 ec3 1 The intercept in the table of parameter estimates obtained here is the same as the one from the Summary procedure in Step 1 above (in question 3). Identify whether this is a true statement or not. O True O False Below are the parameter estimates obtained from the effects coding model in questions 9 and 10. Parameter Estimates Parameter Estimate Standard Error Variable DF t Value Pr > It| Intercept 1 50.20000 0.83815 59.89 <.0001 ec1 ec2 ec3 investigate the parameter estimates shown in table above for effects coding equation alsm answer following questions based on your observations. what does intercept estimate using question how would you compute estimated treatment group show work clearly. edit view insert format tools v paragraph bi u av tv>

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