This dataset is identical to the mtcars data, except that every variable in the data set is represented by a categorical, discrete, or continuous random variable. The original `mtcars` dataset in datasets is based on real data extracted from the 1974 Motor Trend US magazine, but the uncertainty we added is hypothetical and included for illustrative purposes.
Format
A data frame with 32 observations and 11 variables:
- mpg
Uniform random variable - Miles/(US) gallon as
- cyl
Categorical random variable - Number of cylinders
- disp
Uniform random variable - Displacement (cu.in.)
- hp
Normal random variable - Gross horsepower
- drat
Uniform random variable - Rear axle ratio
- wt
Uniform random variable - Weight (1000 lbs)
- qsec
Uniform random variable - 1/4 mile time
- vs
Bernouli random variable - Engine (0 = V-shaped, 1 = straight)
- am
Bernouli random variable - Transmission (0 = automatic, 1 = manual)
- gear
Categorical random variable - Number of forward gears
- carb
Categorical random variable- Number of carburetors