C813 Task 1 Healthcare Statistics and Research
College of Health Professions, Western Governors University
Instructor:
11/9/2025
, A1.
Discrete data is data that takes on categorial values and cannot be added together or divided.
Continuous data is data that can take on continuum of values, such as fractions and decimals, as
opposed to discrete data (Oachs & Watters). In health information research, the difference
between discrete and continuous data is how they are used. Discrete data is made up of
countable values and is often used to classify information or identify patterns. Continuous data
represents measurable values and is used to perform statistical analyses and track trends.
A2.
Nominal- Blood Type. Ex: (A, B, AB, O)
Ordinal- Cancer stage. Ex: I, II, III, IV, V
Interval- Pain scale. Ex: 1-10
Ratio- Heart rate. Ex: 65 BMP
B.
1. Average Length of Stay
May June July
Total Discharge 3,846 4,018 2,746
Total LOS 13,965 16,224 14,364
Avg LOS
=3.63or3.6d =4.04or 4day =5.23or5.2d
2. Hospital Death Rate
College of Health Professions, Western Governors University
Instructor:
11/9/2025
, A1.
Discrete data is data that takes on categorial values and cannot be added together or divided.
Continuous data is data that can take on continuum of values, such as fractions and decimals, as
opposed to discrete data (Oachs & Watters). In health information research, the difference
between discrete and continuous data is how they are used. Discrete data is made up of
countable values and is often used to classify information or identify patterns. Continuous data
represents measurable values and is used to perform statistical analyses and track trends.
A2.
Nominal- Blood Type. Ex: (A, B, AB, O)
Ordinal- Cancer stage. Ex: I, II, III, IV, V
Interval- Pain scale. Ex: 1-10
Ratio- Heart rate. Ex: 65 BMP
B.
1. Average Length of Stay
May June July
Total Discharge 3,846 4,018 2,746
Total LOS 13,965 16,224 14,364
Avg LOS
=3.63or3.6d =4.04or 4day =5.23or5.2d
2. Hospital Death Rate
