EX14_1Montg_data | R Documentation |
A company purchases its raw material from three different suppliers. The company wishes to determine whether the purity of the raw material is the same from each supplier. In this data there are four batches of raw material available from each supplier, and three determinations of purity are taken from each batch.
EX14_1Montg_data
A tibble with 36 observations (rows) and 3 variables (columns).
Column name | Data type | Description | Values | |
[,1] | Purity | numeric | Purity of the raw material | (-4 - 4) |
[,2] | Supplier | factor | 3 different suppliers | (Supplier1...Supplier3) |
[,3] | Batch | factor | 4 batches for each supplier | (Batch1...Batch4) |
This is a two-stage nested design, with batches nested under suppliers.
Batch
is a factor with 4 levels nested under Supplier
(i.e.,
there are 12 different batches).
This data is from Example 14.1 in Design and Analysis of Experiments, 9th Edition.
Montgomery, D. C. (2017) Design and Analysis of Experiments, 9th Edition. New York: Wiley.
# The column names
colnames(EX14_1Montg_data)
# Linear model
lm(Purity ~ Supplier, data = EX14_1Montg_data)
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