Continuous and Discrete Data Discussion Essay Assignment
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Continuous and Discrete Data Discussion Essay Assignment
Data Strategies
Collecting accurate data to solve problems and help in decision-making is very important in public health.
Implementing continuous/interval and discrete data are two strategies for categorizing different types of information. Continuous/Interval data types are occasionally called quantitative or measurement variables.
This data type takes on values within a range of reasonable significance such as height, weight, blood pressure, and population growth rate which are examples of measuring variables that are continuous (Burger, 2018). Continuous data advantages and positive aspects show how variables change over time within populations or health outcomes, it takes a countless number of values and makes them accurate, and it helps analysts understand and determine relationships between variables (Burger, 2018). However, the disadvantages are that measuring and collecting continuous data can be expensive, and sometimes the information is difficult to count and read.
Discrete data is a variable that is countable in a limited timeframe. It takes on specific values, and the variables are not dividable (Kazlauskas, 2021). Examples of this strategy would include the number of Cardiovascular cases or students in a classroom. The advantage of discrete data is that the values are easy to count and are non-expensive for collecting data. In addition, it provides valuable understandings to individuals, businesses, and government agencies (Kazlauskas, 2021). However, the disadvantages of discrete data are that measurements are not precise, and it provides fewer details than what one would receive using continuous data.
Since cardiovascular disease accounts for so many deaths today, using continuous data strategies would align best with my project. This is because it provides a lot of information that can be transferred into statistical analysis that can detect differences among patients and their health challenges. Moreover, using this data set can help me easily view and understand age, sex, cholesterol, blood pressure, and many other variables within the population I am reviewing.
References
Burger, T. (2018). Gentle introduction to the statistical foundations of false discovery rate in quantitative proteomics. Journal of proteome research, 17(1), 12-22.
Kazlauskas, B. (2021, July 29). Discrete vs. continuous data: What’s the difference? The Drum. https://www.thedrum.com/profile/whatagraph/news/di…
Respond to the bold paragraph ABOVE by using one of the option below… in APA format with At least two references and a minimum of 200 words….. .(The List of References should not be older than 2016 and should not be included in the word count.) Include at least one scholarly reference and appropriate in-text citations and Address all points on the DQ. One point will be deducted for not addressing each item mentioned above. Remember that presenting someone else’s work as your own is plagiarism.
Ask a probing question.
Share an insight from having read your colleague’s posting.
Offer and support an opinion.
Validate an idea with your own experience.
Make a suggestion.
Expand on your colleague’s posting.
Be sure to support your postings and responses with specific references to the Learning Resources.
References
American Psychological Association. Publication Manual of the American Psychological Association (7th Ed.). Washington, DC: Author.
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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Continuous and Discrete Data Discussion Essay Assignment