WGU C813 HEALTHCARE RESEARCH AND
STATISTICS TASK 1 | LATEST UPDATE WITH
COMPLETE SOLUTIONS
Western Governors University
Healthcare Statistics and Research
C813
5/20/2025
, A1: Discrete and Continuous Data Differences
Discrete data can be classified as data that is measured and reportable. The data is
calculated and generated for specific reporting with numerical values. Some examples of discrete
data in healthcare are information reflected within the electronic health system, as it relates to lab
reporting, medication prescribed, instructions on dosage, and inpatient hospitalizations.
Continuous Data is classified as data encompassing any value that falls within a
particular range and is not restricted to definite countable values. Some Examples of continuous
data in healthcare are a patient's blood pressure, weight, and height. (Hoskin, 2018)
A2: Scales Of Measurement
• Nominal – is categorical data that is a discrete data type reflecting item names. Data is
incompatible and lacks an innate sequence. Examples: Current Procedural
Terminology (CPT), International Classification of Diseases (ICD), gender, and color
• Ordinal – is a discrete data type that reflects inconsistent categories that promote an
innate sequence demonstrating a specific order or ranking. Examples include Body
Composition, Pain levels, and Patient Satisfaction.
• Interval- is a quantitative, continuous data type, whereas the variance between two
numerical values expresses meaning; however, there is no actual zero point. Examples
include date, Temperature, and PH Levels
STATISTICS TASK 1 | LATEST UPDATE WITH
COMPLETE SOLUTIONS
Western Governors University
Healthcare Statistics and Research
C813
5/20/2025
, A1: Discrete and Continuous Data Differences
Discrete data can be classified as data that is measured and reportable. The data is
calculated and generated for specific reporting with numerical values. Some examples of discrete
data in healthcare are information reflected within the electronic health system, as it relates to lab
reporting, medication prescribed, instructions on dosage, and inpatient hospitalizations.
Continuous Data is classified as data encompassing any value that falls within a
particular range and is not restricted to definite countable values. Some Examples of continuous
data in healthcare are a patient's blood pressure, weight, and height. (Hoskin, 2018)
A2: Scales Of Measurement
• Nominal – is categorical data that is a discrete data type reflecting item names. Data is
incompatible and lacks an innate sequence. Examples: Current Procedural
Terminology (CPT), International Classification of Diseases (ICD), gender, and color
• Ordinal – is a discrete data type that reflects inconsistent categories that promote an
innate sequence demonstrating a specific order or ranking. Examples include Body
Composition, Pain levels, and Patient Satisfaction.
• Interval- is a quantitative, continuous data type, whereas the variance between two
numerical values expresses meaning; however, there is no actual zero point. Examples
include date, Temperature, and PH Levels
