Orange juice data – Part 2

Description

A full description of the problem is given in orangejuice.

This dataset contains samples taken after the machine adjustment was made.

Usage

data(orangejuice)

Format

A data frame with 64 observations on the following 4 variables:

sample

sample id

D

number of defectives

size

sample sizes

trial

trial samples (TRUE/FALSE)

References

Montgomery, D.C. (1991) Introduction to Statistical Quality Control, 2nd ed, New York, John Wiley & Sons, pp. 155–159.

Examples

data(orangejuice2)
orangejuice2$d <- orangejuice2$D/orangejuice2$size
attach(orangejuice2)
summary(orangejuice2)
boxplot(d ~ trial)
mark <- ifelse(trial, 1, 2)
plot(sample, d, type="b", col=mark, pch=mark)

Results