HLRT-362V Summary and Descriptive Statistics Solved
Grand Canyon University HLRT-362V Summary and Descriptive Statistics Solved-Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University HLRT-362V Summary and Descriptive Statistics Solved assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for HLRT-362V Summary and Descriptive Statistics Solved
Whether one passes or fails an academic assignment such as the Grand Canyon University HLRT-362V Summary and Descriptive Statistics Solved depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for HLRT-362V Summary and Descriptive Statistics Solved
The introduction for the Grand Canyon University HLRT-362V Summary and Descriptive Statistics Solved is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
How to Write the Body for HLRT-362V Summary and Descriptive Statistics Solved
After the introduction, move into the main part of the HLRT-362V Summary and Descriptive Statistics Solved assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for HLRT-362V Summary and Descriptive Statistics Solved
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for HLRT-362V Summary and Descriptive Statistics Solved
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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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.
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.
Summary and Descriptive Statistics
Measures of Central Tendency
Measures of central tendency are commonly applied in the data analysis processes to determine or reveal the attributes of variables under consideration. Before engaging in the hypothesis testing, there is always the need to perform descriptive statistics to show the distribution of data and to further determine the approaches that ought to be undertaken in hypothesis testing and other data analysis processes. Besides, measures of central tendency can be applied to manipulate the datasets before undertaking inferential statistics (Bilimoria et al., 2018). Some of the common measures of central tendency applied in the processes of data analysis include mean, median, mode, maximum, minimum, frequencies and percentages. The tables below indicate the descriptive statistics for the National Cancer Institutes for the year 2018.
Table 1: Measures of Central Tendency
| Race | Measures of Central Tendency | ||
| Mean | Median | Mode | |
| American Indian / Alaska Native (includes Hispanic) | 43.28 | 43.86 | N/A |
| Asian / Pacific Islander (includes Hispanic) | 38.513 | 38.9 | 36.6 |
| Black (includes Hispanic) | 70.07 | 71.41 | N/A |
| Hispanic (any race) | 31.493 | 32.1 | 34.1 |
| White (includes Hispanic) | 62.73 | 64.6 | 65.8 |
Table 1 above shows the descriptive statistics for the races represented in the research process. The measurements were recorded for every 100, 000 individuals. The descriptive statistics shows that black races are more prevalent to cancer compared to other races involved in the study. From the analysis, black race indicated the highest rate of cancer infections. The White race followed closely with the mean of 62.73. The outcome of data analysis also showed that Hispanic race had the lowest rate of cancer infection, a record that call s for further research processes to determine the reasons for the observation. The data applied were collected between the years 2000 to 2016, a duration of sixteen years.
The American Indians who took part in the study showed the highest rate of cancer infection of 51.7 for every 100,000 individuals, the lowest rate of cancer infection was recorded as 32. The data used in the study were recorded in the year 2005. Among the Hispanics, Blacks, and Whites, the highest rates of cancer infections were recorded at 35, 79, and 68.8 respectively.
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Table 2: Measures of Variation
| Ethnicity/Race | American Indian / Alaska Native (includes Hispanic) | Asian / Pacific Islander (includes Hispanic) | White (includes Hispanic) | Black (includes Hispanic) | Hispanic (any race) |
| Variance | 27.72 | 5.68 | 26.16 | 45.43 | 8.399 |
| Standard Deviation | 5.265 | 2.38 | 5.12 | 6.740 | 2.898 |
| Maximum | 51.72 | 41.8 | 68.8 | 79.00 | 35.00 |
| Minimum | 32.00 | 34 | 53.2 | 57.42 | 26.00 |
| Range | 19.7 | 7.8 | 15.6 | 21.6 | 9.00 |
Table 2 above shows that measures of variation for the variables that have been applied in the study. The determination of variation was based on the variable used in the study process. Calculations have been done using Microsoft Excel formulas. The highest variation was recorded among the black race or black respondents involved in the study process. The measures of variations were also recorded for every 100, 000 individuals. Therefore, black participants had the highest rate of cancer infection with the highest variation rate. The table shows the maximum, minimum, range, standard deviation and the variance of the variables presented in the dataset. Measures of variation often indicate the variation of measurements between groups or variables included in the process of study (Din et al., 2017).
References
Bilimoria, K. Y., Stewart, A. K., Winchester, D. P., & Ko, C. Y. (2018). The National Cancer Data Base: a powerful initiative to improve cancer care in the United States. Annals of surgical oncology, 15(3), 683-690.
Din, J. N., Snow, T. M., Rao, S. V., Klinke, W. P., Nadra, I. J., Della Siega, A., & Robinson, S. D. (2017). Variation in practice and concordance with guideline criteria for length of stay after elective percutaneous coronary intervention. Catheterization and Cardiovascular Interventions, 90(5), 715-722.
Analysis of The Descriptive Statistics
Descriptive statistics is important in revealing special data trends in a population (Mishra et al.,2019). It can be used to explore disease trends such as diabetes (Abe et al.,2021), cancer, and other conditions among populations. The analyzed data was obtained from the National Cancer Institute, lung and bronchus cancer (“National Cancer”, n.d). The data has been expressed in terms of rates per one hundred thousand. The ethnic races considered in the data include whites (includes Hispanic), Hispanic (any race), black (includes Hispanic), Asian/Pacific Islander (includes Hispanic), and American Indian/Alaska Native (Includes Hispanic). The analyzed data covered the years 2000 to 2015.
The mean data covering the sixteen years shows that the blacks had the highest rates of cancer at 70.06 while the Hispanics had the lowest rates at 31.493. Median rates for the groups included 43.85, 38.9, 71.4, 32.1 and 64.55. It is also important to explore mode as part of descriptive statistics. Only three racial groups had mode, including Asian/Pacific Islanders, Hispanics, and whites. The observed modes were 36.6, 34.1, and 65.8 respectively. Variance was also calculated, with the blacks having the largest variance of 45.42 while the Asian/Pacific Islanders had the least variance at 5.679. The black race also recorded the highest range at 21.6, followed by the American Indian/Alaska Native at 19.7. The least variance was observed in Hispanics, where a value of 9 was observed. It is observable that the black has high rates, hence there is a need to use various approaches to reduce cancer rates. One of the recommended approaches is the use of culture-tailored education (Zhou et al.,2019). Another approach is early screening (Shah et al.,2019)
References
Abe, T., Egbuche, O., Igwe, J., Jegede, O., Wagle, B., Olanipekun, T., & Onwuanyi, A. (2021). Cardiovascular complications in COVID‐19 patients with or without diabetes mellitus. Endocrinology, Diabetes & Metabolism, 4(2), e00218. Doi: 10.1002/edm2.218
Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of Cardiac Anaesthesia, 22(1), 67. https://doi.org/10.4103%2Faca.ACA_157_18
National Cancer Institute. (n.d).Cancer stat facts: Lung and bronchus cancer. https://seer.cancer.gov/statfacts/html/lungb.html
Shah, S. C., Kayamba, V., Peek Jr, R. M., & Heimburger, D. (2019). Cancer control in low-and middle-income countries: is it time to consider screening?. Journal of Global Oncology, 5, 1-8. Doi: 10.1200/JGO.18.00200
Zhou, H., Zhang, Y., Liu, J., Yang, Y., Fang, W., Hong, S., … & Zhang, L. (2019). Education and lung cancer: a Mendelian randomization study. International Journal of Epidemiology, 48(3), 743-750. https://doi.org/10.1093/ije/dyz121