In: Statistics and Probability
For each variable, state the type of variable and its
measurement scale. Age in Years, Age Category, Gender, History of
Diabetes, Blood Pressure, Smoker,
Cholesterol, History of Angina, Weight and Height
Data is quantitative, if it represents a quantity and in qualitative if it assigns a category to the variable. The data is discrete if it can only take some specific values and in continuous if infinite values are possible in any interval.
Four levels of measurement are nominal, ordinal, interval and ratio. A variable is nominal if it is categorical and cannot be arranged in any order. If ordered arrangement is possible, it is ordinal. If the variable values have meaningful difference between the values, then it is interval and if it has a meaningful 0, it is ratio variable.
Age in Years - Quantitative, Ratio
Age Category - Quantitative, Ordinal
Gender - Qualitative, Nominal
History of Diabetes - Qualitative, Nominal
Blood Pressure - Quantitative, Ratio
Smoker - Qualitative, Nominal
Cholesterol - Quantitative, Ratio
History of Angina - Qualitative, Nominal
Weight - Quantitative, Ratio
Height - Quantitative, Ratio