Difference between revisions of "Worksheets/Week3"

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# B: feed concentration: -1 == 5%; +1 == 15%  
# B: feed concentration: -1 == 5%; +1 == 15%  
# C: mixer type:  -1 = R mixer; +1 = W mixer
# C: mixer type:  -1 = R mixer; +1 = W mixer
mod.stability <- lm(y ~ A*B*C)
model.stability <- lm(y ~ A*B*C)
summary(mod.stability)
summary(model.stability)


# Uncomment this line if you run the code in RStudio
# Uncomment this line if you run the code in RStudio
Line 163: Line 163:
source('https://yint.org/paretoPlot.R')
source('https://yint.org/paretoPlot.R')
source('https://yint.org/contourPlot.R')
source('https://yint.org/contourPlot.R')
paretoPlot(mod.stability)
paretoPlot(model.stability)
contourPlot(mod.stability, 'A', 'B')
contourPlot(model.stability, 'A', 'B')
contourPlot(mod.stability, 'A', 'C')
contourPlot(model.stability, 'A', 'C')
     </code>
     </code>
</div></html>
</div></html>

Revision as of 09:23, 11 March 2019

Part 1

A factorial experiment was run to investigate the settings that minimize the production of an unwanted side product. The two factors being investigated are called A and B for simplicity.

Part 2

Continuing from above, with 2 extra experimental points:

Part 3

Your family runs a small business selling products online. The first factor of interest is whether to provide free shipping over €30 or over €50. The second factor is whether or not the purchaser must first create a profile before completing the transaction. The purchaser can still complete their transaction without creating a profile. Below are the data collected, showing the 8 experiments.


Part 4

Continuing with the case above:

Part 5

Your group is developing a new product, but have been struggling to get the product’s stability, measured in days, to the level required. You are aiming for a stability value of 50 days or more.