HIMA410 WK5 Discussion

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School

American Military University *

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Course

410

Subject

Health Science

Date

Dec 6, 2023

Type

rtf

Pages

3

Uploaded by eunjinee1088

Data Sampling is the selection of statistical samples from the population to estimate the characteristics of the entire population (Hessing, 2023). Usually, gathering information on a complete population can be too costly, time- consuming, or absurd. Data sampling is a valuable technique with numerous advantages, particularly when confronted with massive datasets that could be more practical to analyze comprehensively. The efficiency and cost-effectiveness of studying a representative data sample become apparent in such scenarios. Moreover, data sampling offers a suitable solution for businesses facing resource constraints during their research endeavors. However, data sampling also introduces challenges and potential drawbacks alongside its advantages. These include concerns about determining the appropriate sample size, the risk of sampling errors, and the potential for sample bias. While a smaller sample may capture essential insights, it occasionally leads to erroneous data interpretations. Therefore, the importance of selecting a genuinely representative sample cannot be overstated, as it is vital for ensuring the reliability and accuracy of the results obtained.
The Centers for Disease Control and Prevention used data sampling to collect and track statistics about infectious diseases. The example I chose from the CDC website is the Human Immunodeficiency Virus (HIV) diagnosis. The CDC used the reports from 50 states and the District of Columbia to track the year of diagnosis from 2015 to 2019. They also divided age, race, gender, and transmission category. However, it does not present HIV incidence or prevalence data. It stated that not all infected individuals getting tested or diagnosed, anonymous and self-test results not being included in official registries, variations in testing availability for specific groups, and differences in surveillance and reporting practices across different areas (CDC, 2023). Thank you for reading my lengthy post! Reference: Hessing, T. (2023, May 5). Data Sampling Techniques & Uses. Six Sigma Study Guide. https://sixsigmastudyguide.com/data- sampling/ Centers of Disease Control and Prevention. (2023, August 18). Table HIV. human
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