Data for Exercise 1.73

Bumpers

Format

A data frame/tibble with 23 observations on two variables

car

a factor with levels Buick Century, Buick Skylark, Chevrolet Cavalier, Chevrolet Corsica, Chevrolet Lumina, Dodge Dynasty, Dodge Monaco, Ford Taurus, Ford Tempo, Honda Accord, Hyundai Sonata, Mazda 626, Mitsubishi Galant, Nissan Stanza, Oldsmobile Calais, Oldsmobile Ciere, Plymouth Acclaim, Pontiac 6000, Pontiac Grand Am, Pontiac Sunbird, Saturn SL2, Subaru Legacy, and Toyota Camry

repair

total repair cost (in dollars) after crashing a car into a barrier four times while the car was traveling at 5 miles per hour

Source

Insurance Institute of Highway Safety.

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples


EDA(Bumpers$repair)
#> [1] "Bumpers$repair"

#>   Size (n)    Missing    Minimum     1st Qu       Mean     Median     TrMean 
#>     23.000      0.000    618.000   1456.000   2122.478   2129.000   2138.143 
#>     3rd Qu       Max.     Stdev.       Var.    SE Mean     I.Q.R.      Range 
#>   3002.000   3298.000    798.457 637534.170    166.490   1546.000   2680.000 
#>   Kurtosis   Skewness   SW p-val 
#>     -1.140     -0.080      0.287 
stripchart(Bumpers$repair, method = "stack", pch = 19, col = "blue")

library(lattice)
dotplot(car ~ repair, data = Bumpers)