R/BSDA-package.R
Inspect.Rd
Data for Exercise 8.59
Inspect
A data frame/tibble with 174 observations on two variables
a factor with levels auto inspection
,
auto repair
, car care center
, gas station
, new car
dealer
, and tire store
a factor with levels less than 70%
, between 70% and 84%
, and more than 85%
The Charlotte Observer, December 13, 1992.
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
T1 <- xtabs(~ station + passed, data = Inspect)
T1
#> passed
#> station less than 70% between 70% and 84% more than 85%
#> auto inspection 1 8 4
#> auto repair 16 13 7
#> tire store 16 11 6
#> gas station 19 21 6
#> car care center 4 4 4
#> new car dealer 1 5 28
barplot(T1, beside = TRUE, legend = TRUE)
chisq.test(T1)
#> Warning: Chi-squared approximation may be incorrect
#>
#> Pearson's Chi-squared test
#>
#> data: T1
#> X-squared = 61.027, df = 10, p-value = 2.316e-09
#>
rm(T1)
if (FALSE) {
library(ggplot2)
ggplot2::ggplot(data = Inspect, aes(x = passed, fill = station)) +
geom_bar(position = "dodge") +
theme_bw()
}