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Statistics Responses

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Subject
Statistics
School
Chamberlain College of Nursing
Type
Homework
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Statistics Responses
Response #1
A survey gathering data on the numeric pain rating scale of patients would be quantitative
data since the responses to the survey would be numerical, however I disagree that the variable
would be continuous. The example of height that you discussed from the Chamberlain College of
Nursing (2020) is continuous since any value within the interval of numbers can be used
including fractions and decimals. With the numeric pain rating scale, patient responses only
include whole numbers from 0 to 10. Since decimals and fractions in between are not valid
responses, the variable from the survey would be discrete.
I agree that convenience sampling would be a good method to sample in your scenarios.
Another method of sampling that could be used in your scenarios could be cluster sampling.
According to Saifuddin Ahmed and The Johns Hoskins University (2009), cluster sampling is
when, “a group of population elements, constitutes the sampling unit, instead of a single element
of the population.In your scenario, an example of cluster surveying would be surveying all
patients a floor of a hospital or surveying all patients on a couple of floors of a hospital. Another
method of sampling that could be used is stratified sampling. The National EMSC Data Analysis
Resource Center (2010) defines stratified sampling as sampling that occurs when the researcher
divides the population into subgroups called “strata” and then samples each strata randomly. An
example of this in your scenario would be if you randomly sampled 20 patients from each unit of
a hospital.
Ahmed, S. (2009). Methods in Sample Surveys. Retrieved January 6, 2020, from
http://ocw.jhsph.edu/courses/StatMethodsForSampleSurveys/PDFs/Lecture5.pdf.

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Chamberlain College of Nursing (2020). MATH225N Statistical Reasoning for the Health
Sciences: Week 1 lesson. Downers Grove, IL: Online Publication.
National EMSC Data Analysis Resource Center, & University of Utah. (n.d.). Stratified
Sampling. Retrieved from
https://www.nedarc.org/statisticalHelp/selectionAndSampling/probabilitySampling/stratifiedSam
pling.html.
Response #2
I enjoyed reading your response. The examples of pulse oximetry and diagnosis were
great examples of quantitative and qualitative data, respectively. I agree with your statement that
data from the readings of a pulse oximeter would be considered ratio. The difference between
interval and ratio variables was the hardest for me to grasp. Types of Variable (n.d.) states that
“ratio variables are interval variables, but with the added condition that 0 (zero) of the
measurement indicates that there is none of that variable.” By this definition, your reasoning of
categorizing the variable as ratio is accurate since a 0 reading would mean no pulse.
In your discussion, you stated “If I were collecting data on patients that have a diagnosis
of lung cancer, I could use stratified sampling to select my samples from a larger population of
patients that are all categorized as having cancer.” I disagree that this would be an example of
stratified sampling. Sampling should be done from the population being studied. If you are
studying lung cancer patients, then your sample should be of lung cancer patients. A better
example would be studying cancer patients as your population and collecting data on cancer
patients by randomly sampling 50 patients from each type of cancer. In this example, the cancer
types would be your strata. Another example of stratifies sampling could be studying lung cancer
patients as a population and then randomly sampling 50 patients from each state.
National EMSC Data Analysis Resource Center, & University of Utah. (n.d.). Stratified
Sampling. Retrieved from

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Statistics Responses Response #1 A survey gathering data on the numeric pain rating scale of patients would be quantitative data since the responses to the survey would be numerical, however I disagree that the variable would be continuous. The example of height that you discussed from the Chamberlain College of Nursing (2020) is continuous since any value within the interval of numbers can be used including fractions and decimals. With the numeric pain rating scale, patient responses only include whole numbers from 0 to 10. Since decimals and fractions in between are not valid responses, the variable from the survey would be discrete. I agree that convenience sampling would be a good method to sample in your scenarios. Another method of sampling that could be used in your scenarios could be cluster sampling. According to Saifuddin Ahmed and The Johns Hoskins University (2009), cluster s ...
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