In: Statistics and Probability
Marital Status: Categorical (Nominal)
Explanation: Because the data values are classified into a number of labels (qualitative in nature) such that single, married, etc.
Happiness: Categorical (Ordinal)
Explanation: Since happiness rating classified into a number of labels (qualitative in nature) and the rating can be ordered in terms of a low rating or high rating, this is the ordinal level of measurement.
Cholesterol Change: quantitative (continuous, interval)
Explanation: Since Cholesterol change is the numeric number (continuous) and the true zero point is not defined, this is an interval level of measurement
Blood Pressure Change: quantitative (continuous, interval)
Explanation: Since Blood Pressure change is the numeric number (continuous) and the true zero point is not defined, this is an interval level of measurement
Vision Change: quantitative (continuous, interval)
Explanation: Since Blood Pressure change is the numeric number (continuous) and the true zero point is not defined, this is an interval level of measurement
Age: quantitative (continuous, ratio)
Explanation: SinceAge is the numeric number (continuous) and the true zero point is defined, this is a ratio level of measurement.
Male: Categorical (nominal)
Explanation: Because the data values are classified into a number of labels (qualitative in nature) such that yes or no.