STAT210prob14.13 | R Documentation |
This is results after a process engineer tested the yield of a product manufactured on three machines. Each machine can be operated at two power settings and has three stations on which the product is formed. The machines were tested at both power settings, and three observations on yield were taken from each station. The runs were made in random order.
STAT210prob14.13
A data frame with 54 observations (rows) and 4 variables (columns).
Column name | Data type | Description | Values | |
[,1] | Machine | factor | 3 machines were tested | (1, 2, 3) |
[,2] | Power | factor | 2 levels of power settings | (1, 2) |
[,3] | Station | factor | 3 stations per machine | (1, 2, 3) |
[,4] | Yield | numeric | Product yield from each station per run | (22.0 - 37.1) |
The data is from Exercise 14.13 in Design and Analysis of Experiments, 9th Edition, EMEA Edition. In the exercise all three factors are assumed fixed.
Montgomery, D. C. (2019) Design and Analysis of Experiments, 9th Edition, EMEA Edition. New York: Wiley.
# Dimensions of the data frame
dim(STAT210prob14.13)
# Number of replicates
table(STAT210prob14.13[, 1:3])
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