Difference between revisions of "Worksheets/Week3"
Kevin Dunn (talk | contribs) (→Part 2) |
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interaction.plot(A, B, y) | interaction.plot(A, B, y) | ||
interaction.plot(B, A, y) | interaction.plot(B, A, y) | ||
# Make a prediction with this model: | |||
xA = -1 | |||
xB = -1 | |||
predict(model.siderxn, data.frame(A = xA, B = xB)) | |||
</code> | </code> | ||
</div></html> | </div></html> | ||
Revision as of 08:36, 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.