An experiment was run to determine whether four specific firing temperatures affect the density of a...
An experiment was run to determine whether four specific firing temperatures affect the density of a certain type of brick. A completely randomized experiment lead to the following data. (Please answer using Sas).
Temperature Density
100 21.8 21.9 21.7 21.6 21.7
125 21.7 21.4 21.5 21.4
150 21.9 21.8 21.8 21.6 21.5
175 . 21.9 21.7 21.8 21.4
a.) Does the firing temperature affect the density of the bricks. Use alpha:=0.05
b.) Is it appropriate to compare the means using the fisher LSD method (for example) in this experiment?
c.) Analyze the residuals from this experiment. Are the analysis of variance assumptions satisfied?
Note: I am having trouble using Sas. Could you please include as much steps as possible.
Homework Answers
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An experiment was run to determine whether four specific firing
temperatures affect the density of a...
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How to solve the question by using SAS？Could you please
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please answer this using SAS program by ANOVA
1. An experiment was run to determine whether four specific firing temperatures affect the density of a certain type of brick. A completely randomized experiment led to the following data Temperature Density 100 21.8 21.9 21.7 21.6 125 21.7 21.4 21.5 21.4 150 21.9 21.8 21.8 21.6 175 21.9 21.7 21.8 21.4 (a) Write down the means model associated with this experiment. Please make sure you label all symbols used. b) Write...
answer C,D please using SAS program by ANOVA 1. An experiment was run to determine whether...
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1. An experiment was run to determine whether four specific firing temperatures affect the density of a certain type of brick. A completely randomized experiment led to the following data Temperature Density 100 21.8 21.9 21.7 21.6 125 21.7 21.4 21.5 21.4 150 21.9 21.8 21.8 21.6 175 21.9 21.7 21.8 21.4 (a) Write down the means model associated with this experiment. Please make sure you label all symbols used. b) Write...
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To be done on Anova (or not)
State the hypothesis that we are testing in this problem.
Set up the null and alternative.
Comment on the degree of freedom values for each source of
variation. How do you calculate them?
Do we reject the hypothesis that we are testing? Why or why
not?
If you reject, can you tell which level(s) is probably the
one(s) that has the different mean? (Hint: use the box plots from
part 1a
Use the...
Excel or Matlab help please
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