orangejuice dataset

Orange juice data

Orange juice data

Frozen orange juice concentrate is packed in 6-oz cardboard cans. These cans are formed on a machine by spinning them from cardboard stock and attaching a metal bottom panel. A can is then inspected to determine whether, when filled, the liquid could possible leak either on the side seam or around the bottom joint. If this occurs a can is considered nonconforming. The data were collected as 30 samples of 50 cans each at half-hour intervals over a three-shift period in which the machine was in continuous operation. From sample 15 used, a new bacth of cardboard stock was punt into production. Sample 23 was obtained when an inexperienced operator was temporarily assigned to the machine. After the first 30 samples, a machine adjustment was made. Then further 24 samples were taken from the process. data

Format

A data frame with 54 observations on the following 4 variables:

  • sample: sample id
  • D: number of defectives
  • size: sample sizes
  • trial: trial samples (TRUE/FALSE)

Examples

data(orangejuice) orangejuice$d <- orangejuice$D/orangejuice$size attach(orangejuice) summary(orangejuice) boxplot(d ~ trial) mark <- ifelse(trial, 1, 2) plot(sample, d, type="b", col=mark, pch=mark)

References

Montgomery, D.C. (1991) Introduction to Statistical Quality Control, 2nd ed, New York, John Wiley & Sons, pp. 152--155.

  • Maintainer: Miguel Flores
  • License: GPL (>= 2)
  • Last published: 2022-03-02

About the dataset

  • Number of rows: 54
  • Number of columns: 4
  • Class: data.frame

Column names and types

  • D:integer
  • sample:integer
  • size:integer
  • trial:logical