DNP 830 Compare parametric and nonparametric statistical tests

Grand Canyon University DNP 830 Compare parametric and nonparametric statistical tests-Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University DNP 830 Compare parametric and nonparametric 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 DNP 830 Compare parametric and nonparametric statistical tests                                                                   

Whether one passes or fails an academic assignment such as the Grand Canyon University DNP 830 Compare parametric and nonparametric 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 DNP 830 Compare parametric and nonparametric statistical tests                                                                 

The introduction for the Grand Canyon University DNP 830 Compare parametric and nonparametric 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.

How to Write the Body for DNP 830 Compare parametric and nonparametric statistical tests                                                                 

After the introduction, move into the main part of the DNP 830 Compare parametric and nonparametric 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 DNP 830 Compare parametric and nonparametric 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 DNP 830 Compare parametric and nonparametric 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.

Stuck? Let Us Help You

Completing assignments can sometimes be overwhelming, especially with the multitude of academic and personal responsibilities you may have. If you find yourself stuck or unsure at any point in the process, don’t hesitate to reach out for professional assistance. Our assignment writing services are designed to help you achieve your academic goals with ease. 

Our team of experienced writers is well-versed in academic writing and familiar with the specific requirements of the DNP 830 Compare parametric and nonparametric statistical tests assignment. We can provide you with personalized support, ensuring your assignment is well-researched, properly formatted, and thoroughly edited. Get a feel of the quality we guarantee – ORDER NOW. 

Sample Answer for DNP 830 Compare parametric and nonparametric statistical tests

DNP 830 Topic 3 DQ 2

Nursing practice problems vary in complexities, manifestations, and impacts. Nurses have a professional mandate to study these problems and offer practical, evidence-based solutions. The process starts with formulating a hypothesis followed by a problem-centered intervention. To prove or reject the hypothesis, researchers must collect adequate data. The data is then subjected to statistical tests to determine whether there is sufficient evidence to prove or disprove the hypothesis (Cooksey, 2020). The tests could be parametric or nonparametric, depending on the data.

Parametric statistical tests are based on assumptions about the population’s distribution from which the sample is taken. It is important for the sample to be adequate to represent the population effectively. In parametric statistics, the information about the population’s distribution is known (Verma et al., 2019). Such information is also based on a fixed set of parameters. Interval and ratio data are subjected to parametric statistics since their distributions can be predicted. On the other hand, nonparametric statistics are not based on assumptions. As such, data is collected from a sample and do not follow a specific distribution (Kvam et al., 2022). The parameters are not fixed, implying that the information about the population’s distribution is unknown. This makes it necessary for the researcher to test the population’s hypothesis.

Statistical tests depend on the data collected and underlying assumptions. Regarding normality, parametric data is assumed to be normally distributed, hence a bell-shaped curve (Mishra et al., 2019). As a result, the most appropriate thing for the researcher, if the data are not normally distributed, is to perform a nonparametric statistical test. Nominal and ordinal data are nonparametric and require nonparametric statistical tests since they do not assume any particular distribution.

References

Cooksey, R. W. (2020). Illustrating statistical procedures: Finding meaning in quantitative data. Springer Singapore.

Kvam, P., Vidakovic, B., & Kim, S. J. (2022). Nonparametric statistics with applications to science and engineering with R (Vol. 1). John Wiley & Sons.

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), 67–72. https://doi.org/10.4103/aca.ACA_157_18

Verma, J. P., & Abdel-Salam, A. S. G. (2019). Testing statistical assumptions in research. John Wiley & Sons.