WGU C813 TASK 1: HEALTHCARE STATISTICS
AND RESEARCH, |PASSED ON FIRST
ATTEMPT |LATEST UPDATE WITH COMPLETE
SOLUTION
AT WESTERN GOVERNORS UNIVERSITY
C813: Healthcare Statistics and Research
Task 1: Ethics in Research and Healthcare Statistics
Samantha Martin
Student ID: 001407052
DATE….
, A1: Discrete and Continuous Data Differences
Discrete data does not contain fractions or decimals; it is always a whole number. It is
typically determined by counting, for example, the number of hospital inpatient admissions or
concert attendees. However, continuous data does not have to be a whole number. Fractions and
decimals may be present in continuous data that is "measured to the nearest." For instance, two-
thirds of a birthday cake remains, or you are running 2.7 miles. Even though something is
measured in decimal fractions and then rounded to the closest whole number, it is still regarded
as continuous data (Darche & Koch, 2014).
A2: Scales of Measurement
There are four different types of scales of measurement of data in healthcare. They are as
follows:
• Nominal Data- this is qualitative data and includes a numeric code for
information such as numbers for race, i.e., #1 White, #2 African American, #3
Asian, #3, etc.
• Ordinal Data- data or observations that can be ranked or ordered. An example
of this is saying that cancer is the third leading cause of death in the United
States.
• Interval Data- represents observations or values and can be measured on
an evenly distributed scale. An example is a patient's pain scale from 0 to
10.
• Ration Data- similar to interval data, the intervals between successive units are
of equal size. Examples are a patient’s height or weight.
(Darche & Koch, 2014)
B1: Average Length of Stay (ALOS)
(Total LOS) / (Number of Discharges) = (Average
AND RESEARCH, |PASSED ON FIRST
ATTEMPT |LATEST UPDATE WITH COMPLETE
SOLUTION
AT WESTERN GOVERNORS UNIVERSITY
C813: Healthcare Statistics and Research
Task 1: Ethics in Research and Healthcare Statistics
Samantha Martin
Student ID: 001407052
DATE….
, A1: Discrete and Continuous Data Differences
Discrete data does not contain fractions or decimals; it is always a whole number. It is
typically determined by counting, for example, the number of hospital inpatient admissions or
concert attendees. However, continuous data does not have to be a whole number. Fractions and
decimals may be present in continuous data that is "measured to the nearest." For instance, two-
thirds of a birthday cake remains, or you are running 2.7 miles. Even though something is
measured in decimal fractions and then rounded to the closest whole number, it is still regarded
as continuous data (Darche & Koch, 2014).
A2: Scales of Measurement
There are four different types of scales of measurement of data in healthcare. They are as
follows:
• Nominal Data- this is qualitative data and includes a numeric code for
information such as numbers for race, i.e., #1 White, #2 African American, #3
Asian, #3, etc.
• Ordinal Data- data or observations that can be ranked or ordered. An example
of this is saying that cancer is the third leading cause of death in the United
States.
• Interval Data- represents observations or values and can be measured on
an evenly distributed scale. An example is a patient's pain scale from 0 to
10.
• Ration Data- similar to interval data, the intervals between successive units are
of equal size. Examples are a patient’s height or weight.
(Darche & Koch, 2014)
B1: Average Length of Stay (ALOS)
(Total LOS) / (Number of Discharges) = (Average
