NUR 705 Discussion 12.1 Alternate Statistical Tests
ST. Thomas University NUR 705 Discussion 12.1 Alternate Statistical Tests-Step-By-Step Guide
This guide will demonstrate how to complete the ST. Thomas University NUR 705 Discussion 12.1 Alternate Statistical Tests 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 NUR 705 Discussion 12.1 Alternate Statistical Tests
Whether one passes or fails an academic assignment such as the ST. Thomas University NUR 705 Discussion 12.1 Alternate Statistical Tests 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 NUR 705 Discussion 12.1 Alternate Statistical Tests
The introduction for the ST. Thomas University NUR 705 Discussion 12.1 Alternate Statistical Tests 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.
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How to Write the Body for NUR 705 Discussion 12.1 Alternate Statistical Tests
After the introduction, move into the main part of the NUR 705 Discussion 12.1 Alternate Statistical Tests 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 NUR 705 Discussion 12.1 Alternate Statistical Tests
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 NUR 705 Discussion 12.1 Alternate Statistical Tests
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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Sample Answer for NUR 705 Discussion 12.1 Alternate Statistical Tests
There are a variety of alternate statistical tests that can be conducted when data is not normally distributed. Some of these tests include the Mann-Whitney U test, the Kruskal-Wallis H test, and the Spearman rank correlation coefficient. The Mann-Whitney U test is used to compare the median scores of two groups, while the Kruskal-Wallis H test is used to compare the ranks of several groups (Totaro et al., 2019). The Spearman rank correlation coefficient is used to measure the strength of a linear relationship between two variables.
Proposed Research
To determine the effects of obesity on high blood pressure among the elderly aged 60 years and above. The variables being studied in this case include Body Mass Index (BMI) and systolic blood pressure. Both BMI and systolic blood pressure will be measured and recorded as continuous data. The sample size will be 30. In other words, 30 elderly male and female participants will be involved in the study.
Null Hypothesis: Obesity has no significant impacts on blood pressure
Alternative Hypothesis: Obesity has significant impacts on blood pressure
If the measurements of the two variables are normally distributed. There are different parametric tests that can be used to prove hypothesis. These statistical tests include student t-test, Z-test, and ANOVA (Hussain & Mahmud, 2019). In addition, Pearson correlation can be used to determine the relationship between the two variables. However, if the two variables are not normally distributed Spearman’s correlation can be used to determine the relationship between the two variables. On the other hand, Wilcoxon signed rank test, the Mann-Whitney U Test and the Kruskal-Wallis test can be used instead of student t-test, Z-test, and ANOVA.
References
Hussain, M., & Mahmud, I. (2019). pyMannKendall: a python package for non parametric Mann Kendall family of trend tests. Journal of Open Source Software, 4(39), 1556. https://joss.theoj.org/papers/10.21105/joss.01556
Totaro, V., Gioia, A., & Iacobellis, V. (2019). Power of parametric and non-parametric tests for trend detection in annual maximum series. Hydrology and Earth System Sciences. https://hess.copernicus.org/preprints/hess-2019-363/hess-2019-363.pdf