In: Statistics and Probability
(a) Types of data:
(i) Qualitativa data (also called categorical data): the observations fall into seperate distinct categories, like gender (Male/ Female), Mother tongue etc.
Examples in Healthcare Industry: Color of eyes: Blue, Green, Brown etc.
Qualitative data is of 2 types:
Ordinal and Nominal
Ordinal data represent discrete and ordered units.
Example in healthcare industry: Educational Qualifications and Experience (in years) of the doctors in a hospital.
Nominal data represent the discrete units and are used to label variables, that have no quantitative value.
Example in healthcare industry: Ward Number in In-patient Wards
(ii) Quantitative (Also called Numeric) data: counts or measurements.
This can be of 2 types:
- discrete if the measurements are integers
Example in healthcare industry: Number of patients in a Ward in a hospital.
- Continuous if the measurements can take on any value within some range
Example in healthcare industry: Height and weight measurements of patients.
Quantitate data re of 2 types:
Interval data and Ratio data
Interval data represent the ordered units that have the same difference.
Example from healthcare industry: Temperature of a patient who is having fever.
Ratio data is same as interval data, with the difference that they have an absolute zero.
Example in healthcare industry: Patient Fall Rate in a hospital: The rate at which patients fall during the course of their hospital per 1000 patient days.