Worksheets/Week6

From Statistics for Engineering
Revision as of 09:08, 17 October 2019 by Kevin Dunn (talk | contribs) (→‎Part 2)
Jump to navigation Jump to search

Part 1

Case study: Achieve a stability value of 50 days or more, for a new product. We had a full factorial set of experiments in 3 factors:

Factor name Description Low value High value Type of factor
A Enzyme strength 20% 30% Numeric factor
B Feed concentration 75% 85% Numeric
C Mixer type R W Categorical

We will show what we loose out if we pretend we only did half the experiments. In other words, we actually have 8 experiments, but we will see what happens if we only use 4 of them.


Part 2

Data from a bioreactor experiment is available, were we were investigating four factors:

Factor name Description Low value High value Type of factor
A Feed rate 5 g/min 8 g/min Numeric factor
B Initial inoculant amount 300 g 400 g Numeric
C Feed substrate concentration 40 g/L 60 g/L Numeric
D Dissolved oxygen set-point 4 mg/L 5 mg/L Numeric


The 16 experiments from a full factorial, 2^4 = 16, were randomly run, and the yields, y, the outcome variable were given in standard order: [60, 59, 63, 61, 69, 61, 94, 93, 56, 63, 70, 65, 44, 45, 78, 77]