Assignment: Summary and Statistics
Assignment: Summary and Statistics
Assignment: Summary and Statistics
Permalink: https://nursingmasters.blog/assignment-summary-and-statistics/
There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understanding differences between the groups based upon the collected data often informs health care professionals towards research, treatment options, or patient education.
Having Trouble Meeting Your Deadline?
Get your assignment on Assignment: Summary and Statistics completed on time. avoid delay and – ORDER NOW
Using the data on the “National Cancer Institute Data” Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as needed, for assistance in with creating Excel formulas.
Descriptive statistics are important in any research study, but they are especially important in healthcare research studies. This is because the goal of healthcare research is to improve the health and wellbeing of people, and descriptive statistics help researchers to understand the characteristics of the patients who are being studied. Descriptive statistics can tell researchers things like how old the patients are, what gender they are, what race they are, what type of illness or condition they have, and how severe their illness or condition is. By understanding these characteristics, researchers can then begin to look for patterns and associations between different factors (such as age and race) and different diseases or conditions.
Struggling to Meet Your Deadline?
Get your assignment on Assignment: Summary and Statistics done on time by medical experts. Don’t wait – ORDER NOW!
There are a few different measures of variation that are commonly used when analyzing healthcare data. These measures can give you a good sense of how different groups of patients vary in their health outcomes or in the care that they receive. The first measure is the mean. This is simply the average value for a given group of patients. It can be useful to compare the mean outcome between different groups of patients, such as those who received different treatments. The second measure is the standard deviation. This gives you a sense of how much variation there is within a group of patients. A higher standard deviation indicates more variation, while a lower standard deviation indicates less variation. The third measure is the median.
The National Cancer Institute (NCI) is the Federal government’s principal agency for cancer research and training. NCI coordinates the National Cancer Program, which includes basic and applied research, cancer control, and cancer education and information activities. The data on the “National Cancer Institute Data” website is from the NCI’s Surveillance, Epidemiology, and End Results (SEER) Program (Kline et al., 2018). The SEER Program collects data on cancer incidence (new cases), mortality (deaths), survival, prevalence (the number of people living with cancer), and care at diagnosis from population-based sources in the United States.
Analysis of Descriptive Statistics
Table 1: American Indian / Alaska Native (includes Hispanic) Population
American Indian / Alaska Native (includes Hispanic) Population | |
Measures Of Central tendency | Value |
Average | 43.2700 |
Median | 43.8500 |
Mode (Number which appear most) | There is no number which appears most |
Table 2: Black_includes Hispanic
Table 2: Black_includes Hispanic | |
Measures Of Central tendency | Value |
mean | 70.0700 |
Median | 71.4200 |
Mode | There is no number which appears most |
Table 3_Hispanic_any race
Table 3_Hispanic_any race | |
Measures Of Central tendency | Value |
Average/mean | 62.7300 |
Median | 64.5500 |
Mode (Number which appear most) | 65.8000 |
Table 4_Asian / Pacific Islander_includes Hispanic
Table 4_Asian / Pacific Islander_includes Hispanic | |
Measures Of Central tendency | Value |
Average/mean | 38.5200 |
Median | 38.9100 |
Mode (Number which appear most) | 36.6000 |
Table 5_Hispanic_any race
Table 2: Hispanic (any race) | |
Measures Of Central tendency | Value |
Average/mean | 31.49 |
Median | 32.10 |
Mode (Number which appear most) | 34.10 |
Tables 1–5 indicate the overall number of cancer cases documented from all racial groupings. For the rate measurements, a sample population of 100,000 persons was used. According to the descriptive analysis, black persons had the greatest risk of having cancer infections, with white people coming in a close second. Hispanics have been shown to have the lowest risk of having cancer related infections. The information used for the analytic technique was collected in 2016, hence the research period spanned a 16-year period beginning in the year 2000.
Overall, there is a striking disparities in cancer incidence and mortality rates between African Americans and other racial groups in the United States. While the overall cancer incidence rate for African Americans is 10% higher than for whites, the mortality rate is a staggering 33% higher (Li et al., 2019). The discrepancy exists across all types of cancer, but is especially pronounced for cancers of the breast, prostate, and lung. There are a variety of factors that contribute to this divide. African Americans are more likely to live in poverty and lack access to quality healthcare. They also tend to have a unhealthy diet and lifestyle choices which increase their risks for developing cancer (DeSantis et al., 2019). In addition, certain genetic mutations that increase cancer risks are more common among people of African descent.
Measures of Variation from the Cancer Institute Data
Table 6: Measures of Variation
Ethnicity | American Indian / Alaska Native_includes Hispanic | Hispanic_any race | Black_includes Hispanic | White_includes Hispanic | Asian / Pacific Islander_includes Hispanic |
Variance for each category | 27.71933333 | 8.399291667 | 45.428960 | 26.162000 | 5.670830 |
Standard Deviation | 5.264915321 | 2.898153 | 6.7401000 | 5.1148800 | 2.38000 |
Maximum | 51.7000000 | 35.0000 | 79.0000 | 68.80200 | 41.80000 |
Minimum | 32.000000 | 26.0000 | 57.42000 | 53.20000 | 34.00000 |
Range | 19.700000 | 9.00000 | 21.60000 | 15.60000 | 7.800000 |
Table 6 shows the results of the dataset’s variation. According to the findings, the black population recorded the most variation/fluctuation in data. The measurements were taken once per 100,000 people involved in the cohort study.
Conclusion
According to the American Cancer Society, African Americans have the highest rates of cancer incidence and mortality of any racial or ethnic group in the United States. While the overall cancer incidence rate has been declining since the early 1990s, this decline has been much slower among African Americans. Additionally, African Americans are more likely than other groups to be diagnosed with certain types of cancer, such as breast cancer, prostate cancer, and colorectal cancer. There are a number of possible explanations for these disparities in cancer rates. One possibility is that African Americans are more likely to live in areas with higher levels of pollution and exposure to toxic chemicals. This could lead to a higher risk of developing cancer.
References
DeSantis, C. E., Miller, K. D., Goding Sauer, A., Jemal, A., & Siegel, R. L. (2019). Cancer statistics for african Americans, 2019. CA: a cancer journal for clinicians, 69(3), 211-233. https://acsjournals.onlinelibrary.wiley.com/doi/full/10.3322/caac.21555
Kline, R. M., Arora, N. K., Bradley, C. J., Brauer, E. R., Graves, D. L., Lunsford, N. B., … & Ganz, P. A. (2018). Long-term survivorship care after cancer treatment-summary of a 2017 National Cancer Policy Forum Workshop. JNCI: Journal of the National Cancer Institute, 110(12), 1300-1310. https://doi.org/10.1093/jnci/djy176
Li, T., Higgins, J. P., & Deeks, J. J. (2019). Collecting data. Cochrane handbook for systematic reviews of interventions, 109-141. https://doi.org/10.1002/9781119536604.ch5
Provide the following descriptive statistics:
Measures of Central Tendency: Mean, Median, and Mode
Measures of Variation: Variance, Standard Deviation, and Range (a formula is not needed for Range).
Once the data is calculated, provide a 150-250 word analysis of the descriptive statistics on the spreadsheet. This should include differences and health outcomes between groups.
APA style is not required, but solid academic writing is expected.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are not required to submit this assignment to LopesWrite.
Attachments
HLT-362V-RS5-NationalCancerInstitutedata.xlsx
Application of Statistics in Health Care
Measures of Central Tendency (Mean, Median and Mode)25.0Measures of central tendency are not calculated.Measures of central tendency are partially calculated, but two required calculations are missing.Measures of central tendency are mostly calculated, but one required calculation is missing.N/AMeasures of central tendency are calculated.Measures of Variation (Variance, Standard Deviation and Range)25.0Measures of variation are not calculated.Measures of central variation are partially calculated.Measures of central variation are mostly calculated, but one required calculation is missing.N/AMeasures of central variation are calculated for variance and standard deviation. Range is identified.Analysis of Descriptive Statistics25.0Analysis of the descriptive statistics for differences and health outcome recommendations between the groups is not included.Analysis of the descriptive statistics for differences and health outcome recommendations between the groups is incomplete or incorrect.Analysis of the descriptive statistics for differences and health outcome recommendations between the groups is included but lacks accuracy, explanation, or supporting details.Analysis of the descriptive statistics for differences and health outcome recommendations between the groups is complete and mostly accurate and contains explanation and supporting details.Analysis of the descriptive statistics for differences and health outcome recommendations between the groups is extremely thorough and accurate and includes substantial explanation and supporting details.Excel Formulas20.0Excel formulas are incomplete or incorrect.Excel formulas are partially included or contain significant errors that affect problem solutions.Excel formulas are mostly included and contain minor errors.Excel formulas are included for all problems and contain only minor errors.Excel formulas are complete and correct for all problems.Mechanics of Writing (includes spelling, punctuation, grammar, language use)5.0Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is used.Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Sentence structure is correct but not varied.Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed.Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech.Writer is clearly in command of standard, written, academic English.Total Percentage 100
Don’t wait until the last minute
Fill in your requirements and let our experts deliver your work asap.