STAT210example14.16 | R Documentation |
A paper manufacturer was interested in the effect of three different pulp preparation methods and four different cooking temperatures on the tensile strength of the paper. The data shows the results of 36 runs in a factorial experiment to test the tensile strength of the paper.
STAT210example14.16
A data frame with 36 observations (rows) and 4 variables (columns).
Column name | Data type | Description | Values | |
[,1] | Temperature | factor | 4 cooking temperature in °F | (200, 225, 250, 275) |
[,2] | pulp_prep_method | factor | 3 methods for pulp preparation | (1, 2, 3) |
[,3] | replicate | factor | 3 replicates for each temperature and method | (1, 2, 3) |
[,4] | strength | integer | The tensile strength of the paper | (26 - 45) |
The experiment was performed as follows: A batch of pulp is produced by one of the three methods under study. Then this batch is divided into four samples, and each sample is cooked at one of the four temperatures. Then a second batch of pulp is made up using another of the three methods. This second batch is also divided into four samples that are tested at the four temperatures. The process is then repeated, until all three replicates (36 runs) of the experiment are obtained.
This data is from the split-plot design Table 14.16 in Design and Analysis of Experiments, 9th Edition, EMEA Edition.
Montgomery, D. C. (2019) Design and Analysis of Experiments, 9th Edition, EMEA Edition. New York: Wiley.
# A short summary of the variables
summary(STAT210example14.16)
# Tensile strength for each method
boxplot(strength ~ pulp_prep_method, data = STAT210example14.16,
col = "violetred3")
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