Summary And Descriptive Statistics: Students, Names, Institu
Summary And Descriptive Statisticsstudents Nameinstitutions Namerunn
Summarize and describe statistical data, including measures of central tendency (mean, median, mode) and measures of dispersion (variance, standard deviation, range), for different ethnic groups based on rates per 100,000. Analyze which groups have the highest or lowest values and spreads.
Paper For Above instruction
The data presented focuses on the distribution of rates per 100,000 across various racial and ethnic groups, including American Indian/Alaska Native, Asian/Pacific Islander, Black, Hispanic, and White populations. The analysis utilizes measures of central tendency—mean, median, and mode—to summarize the typical rate within each group, providing insights into their average values and most common rates. These statistical measures are critical in understanding the central point of the data, especially in public health research, where identifying populations at higher or lower risk is essential for targeted interventions.
For instance, the Black (including Hispanic) group exhibits the highest mean and median rates per 100,000, indicating a higher central tendency and possibly a greater burden within this population compared to others. Contrarily, the Hispanic (any race) group shows the lowest mean and median, suggesting it might be less impacted or exhibit lower rates in this context. Mode values further provide the most frequently occurring rates within some groups, with White (including Hispanic) having a mode of 65.8, emphasizing where the most common rate concentrations lie.
Measures of dispersion such as variance, standard deviation, and range reveal the extent of variability or spread in the data within each group. The Black (including Hispanic) group displays the highest variance, standard deviation, and range, implying significant variability in rates and suggesting that the rates are dispersed over a broad spectrum. Conversely, the Asian/Pacific Islander group shows the lowest measures of spread, indicating more consistent rates across individuals within this group. This variation can be attributed to various socioeconomic, environmental, and healthcare access factors that differ across populations, impacting health outcomes and disease rates.
The interpretation of these statistics is vital for public health practitioners and policymakers. High variance and standard deviation signal the need for nuanced, stratified approaches within the affected populations, emphasizing that not all individuals are experiencing the same risk level. Conversely, a narrow range indicates more uniform risk and potentially effectiveness in targeted prevention strategies. Overall, these descriptive statistics help in identifying disparities, prioritizing resource allocation, and forming the basis for further in-depth analysis in epidemiological studies.
References
- Aldous, D. J. (2016). Descriptive Statistics. New Rochelle, NY: Magnum Publishing.