Descriptive statistics for five different ethnic groups
|American Indian / Alaska Native (includes Hispanic)||Asian / Pacific Islander (includes Hispanic)||Black (includes Hispanic)||Hispanic (any race)||White (includes Hispanic)|
The analysis of statistical data concerning the state of the health care system is of fundamental importance for the state. The study of cohorts should be aimed at identifying vulnerable segments of the population that do not receive medical assistance in the required amount. On the other hand, statistical models applied to already sick patients allow assessing existing trends and taking preventive measures to eliminate the public health threat.
The table above provides such descriptive statistics: based on these statistics, it is possible to study how the spread of respiratory cancer and the ethnicity of the patient are related. The first thing to pay special attention to is the mean value of the attribute. For dark-skinned people, it is the maximum parameter compared to other groups. Therefore, the primary assumption can be formulated as follows: black patients suffer most often from lung cancer and bronchial cancer. However, the average in itself is not a reliable enough characteristic (McNichol, 2018). Then, a standard deviation of the feature can show the actual trends.
The value of SD for black people is again the most significant measure among the investigated groups. However, in this case, it means that each point on average deviates from the other by 6.74. This information can be critical because it reports that the black group has the most considerable variation. This may be due to either lack of medical data or unexplained trends in periodic cancer among blacks. Additional analysis of the table shows that Asians and Hispanics are the least exposed to cancer because their average values are minimal. Thus, the medical department can rank these ethnic groups in the following order of vulnerability reduction:
Of interest is a retrospective data analysis to determine the overall dynamics of each ethnic group in particular and for all patients. The graph below illustrates the proposed data. Indeed, dark-skinned patients have experienced the sharpest decline in morbidity compared to the beginning of the millennium: this is what creates this dispersion. Simultaneously, the most significant diversification is noticeable for the Indians: fluctuations in cases occur every year.
Dynamics of new cancer cases for five different ethnic groups
McNichol, D. (2018). On average, you’re using the wrong average — Part II. Towards. Web.
National Cancer Institute. (2018). Lung and bronchus cancer. National Cancer Institute. Web.