MATH 225 Week 2 Discussion: Graphing and Describing Data in Everyday Life

MATH 225 Week 2 Discussion: Graphing and Describing Data in Everyday Life

MATH 225 Week 2 Discussion: Graphing and Describing Data in Everyday Life

Name

Chamberlain University

MATH-225 Statistical Reasoning for the Health Sciences

Prof. Name

Date

Discussion: Graphing and Describing Data in Everyday Life

To represent injury data collected from a clinic over a month, I would use a relative frequency table. As per Chamberlain (2019), a relative frequency table displays the percentage of data points that fall into each category, with the sum of all frequencies equaling 100%. This data can be visually represented using a horizontal bar chart. The injuries would be displayed along the vertical axis, while the number of people sustaining those injuries would be shown along the horizontal axis.

For the second data set, which tracks patient waiting times at a doctor’s office, I would use a frequency table. According to OpenStax (2019), a frequency table indicates the number of occurrences for each data value, with the total representing the sample size. In this case, the waiting times would appear in the first column, while the number of patients experiencing those wait times would be listed in the second. Using these data visualization methods can help in understanding the distribution of injuries and patient waiting times more effectively. Higgins, Simpson, and Johnson (2018) emphasize that big data analysis in nursing can generate new knowledge and improve patient care. Understanding statistical analysis in nursing can help improve work environments and patient outcomes through evidence-based practices.

References

Chamberlain University. (2019). Week 2 Lesson: Graphing and describing data. Retrieved from https://chamberlain.instructure.com/courses/47052/pages/week-2-lesson-graphing-and-describing-data?module_item_id=6093071

Higgins, M., Simpson, R. L., & Johnson, W. G. (2018). What about big data and nursing? Statistics, computer science, and nursing work together to analyze data and inform patient care. American Nurse Today, 13(5), 29–31. Retrieved from https://searchebscohost-com.chamberlainuniversity.idm.oclc.org/login.aspx?direct=true&db=ccm&AN=129530313&site=eds-live&scope=site

MATH 225 Week 2 Discussion: Graphing and Describing Data in Everyday Life

OpenStax CNX. (2019). Introductory business statistics. Retrieved from https://cnx.org/contents/tWu56V64@35.8:UMM7d-Hy@19/2-1-Display-Data