Quick reminder nature of the data

1. Dichotomous by Dichotomous Data - When both variables have only two values each.
Example - What is the relationship between gender (male or female) and driving
speed category (fast driver or slow driver) ?
Dichotomous by Scaled Data - When one variable has only two values each and the
other is scaled (data with equal intervals – 1 and 2 is the same interval as 3 and 4).
Example - What is the relationship between gender (male or female) and driving
speed (1 mph to 150 mph driving speed )?
Ordinal by Another Variable – When at least one variable is rank ordered (1st, 2nd, 3rd,
or 67th% or 99th%) and the other is either nominal (categorical), scaled or also rank
ordered.
Example - What is the relationship between gender (male or female) and percentile
driving speed?
Scaled by Scaled with at least on variable skewe – When both variables are scaled and
at least one of these variable is skewed
Example - What is the relationship between height
(scaled normally distributed variable) and driving speed (scaled variable that with a
skewed right distribution)?
Dichotomous by Dichotomous
Dichotomous by Scaled
Ordinal by Another Variable
Scaled by Scaled with at least one variable Skewed
Example data set
Example data set
Example data set