STAT210example5.3: STAT210example5.3: The Soft Drink Bottling Problem

In thoree/stat340: Data and functions for BIAS at NMBU

STAT210example5.3: The Soft Drink Bottling Problem

Description

A soft drink bottler is interested in obtaining more uniform fill heights in bottles. The filling machine theoretically fills each bottle to the correct target height, but in practice, there is variation around this target. To understand the sources of variability, the process engineer runs two replicates of a factorial design and controls three factors during the filling process. This data shows the average deviation from the target fill height for 24 production runs.

Usage

STAT210example5.3

Format

A data frame with 24 observations (rows) and 4 variables (columns).

	Column name	Data type	Description	Values
[,1]	percent_carbonation	factor	3 levels of carbonation in percentage	(10, 12, 14)
[,2]	operation_pressure	factor	Operating pressure in psi	(25, 30)
[,3]	line_speed	factor	2 levels of line speed in bpm	(200, 250)
[,4]	height_deviation	integer	Average fill deviation	(-3 - 11)

Details

The data is from Example 5.3 in Design and Analysis of Experiments, 9th Edition, EMEA Edition.

Source

Montgomery, D. C. (2019) Design and Analysis of Experiments, 9th Edition, EMEA Edition. New York: Wiley.

Examples

# A short summary of the variables
summary(STAT210example5.3)

# First six and last 10 rows
head(STAT210example5.3)
tail(STAT210example5.3, n = 10)

thoree/stat340 documentation built on June 30, 2024, 4:04 p.m.