# Chips: Silicon Chips In PASWR: Probability and Statistics with R

 Chips R Documentation

## Silicon Chips

### Description

Two techniques of splitting chips are randomly assigned to 28 sheets so that each technique is applied to 14 sheets. The values recorded in `Chips` are the number of usable chips from each silicon sheet.

### Format

A data frame with 14 observations on the following 2 variables:

techniqueI

number of usable chips

techniqueII

number of usable chips

### Source

Ugarte, M. D., Militino, A. F., and Arnholt, A. T. (2008) Probability and Statistics with R. Chapman & Hall/CRC.

### Examples

```
par(mfrow = c(1, 2))
with(data = Chips, qqnorm(techniqueI))
with(data = Chips, qqline(techniqueI))
with(data = Chips, qqnorm(techniqueII))
with(data = Chips, qqline(techniqueII))
par(mfrow=c(1, 1))
# Trellis Approach
graph1 <- qqmath(~techniqueI, data = Chips, type=c("p", "r"))
graph2 <- qqmath(~techniqueII, data = Chips, type=c("p", "r"))
print(graph1, split=c(1, 1, 2, 1), more = TRUE)
print(graph2, split=c(2, 1, 2, 1), more = FALSE)
rm(graph1, graph2)

```

PASWR documentation built on May 15, 2022, 5:05 p.m.