DNP 830 Working With Descriptive Statistics
Grand Canyon University DNP 830 Working With Descriptive Statistics – Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University DNP 830 Working With Descriptive Statistics 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 Working With Descriptive Statistics
Whether one passes or fails an academic assignment such as the Grand Canyon University NUR 550 Benchmark – Evidence-Based Practice Project: Literature Review 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 Working With Descriptive Statistics
The introduction for the Grand Canyon University DNP 830 Working With Descriptive Statistics 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 DNP 830 Working With Descriptive Statistics
After the introduction, move into the main part of the DNP 830 Working With Descriptive Statistics 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 Working With Descriptive Statistics
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 Working With Descriptive Statistics
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 DNP 830 Working With Descriptive Statistics
Descriptive statistics are used in describing features of data sets through a generation of summaries from a given data sample. Descriptive statistics can also be used to provide an overall summary of a study sample without interpretation (Grove & Cipher, 2019). When descriptive statistics are used in describing a population, various measures can be used to give a clearer picture of the population. The measures include median, mode, and mean as measures of tendency, standard deviation, and percentages (Kaur et al., 2018). The population data can be used to offer a summary of particular quantities in the sample in terms of percentages or mean. Such mean and percentages can then be used to help in understanding the trends existing in data. Therefore, the purpose of this paper is to develop a basic understanding of statistics by using a software program to analyze data using specific tests such as mean, median, mode, range, and standard deviation for a provided HCUP report.
Summary of the Results
The data were analyzed using SPSS software. SPSS has been widely used over the years for data analysis (Pallant, 2022). From the analysis, it was noted that there are both missing and valid variables. The analysis mainly focused on the number of discharges in the year 2018. In the analysis output window, the number of discharged individuals has been shown in terms of cumulative percentages and percentages, as shown in the appendix section. The output also shows the percentage and frequency of the patients discharged in each of the thirty-six states provided in the dataset.
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Statistical Analysis
The mean number of people discharged in 2018 was 699,602. This indicates that the states and an increment in the number of discharged individuals in comparison to the previous years. In addition, the analysis showed that the mode was 53,560, the median was 481,359, and the standard deviation was 802,921.95. Besides, while the minimum was found to be 53,560, the maximum value was 3,819,392.
Histogram and Bar Graphs
The pictorial representation of the analyzed data enhances the understanding of the observed trends. The histogram presents a data frequency with a normal curve which is important in showing the skewness of the data (Shreffler& Huecker, 2022). Skewness is usually used in measuring data asymmetry or how the values are distributed around the mean. The histogram also played a key role in visualizing the number of patients discharged during that time. The data on patient discharge did not show a normal distribution, which is an indication of skewed data.
Applying Descriptive statistical analysis to the Prospectus
Descriptive statistics can be useful in coming up with summaries for the overall data before a comprehensive conclusion about the study can be made (Heavey, 2022). Therefore, various strategies can be used, including bar charts, histograms, tables, and other visual displays. The information obtained from descriptive statistics also simplifies data substantially, especially data from a big population which would otherwise prove to be complicated without using descriptive statistics (MacFarland et al., 2021). The implication is that it enhances an understanding of the whole data set.
Conclusion
This write-up has explored working with descriptive statistics. Various aspects have been explored in the statistical analyses, including histogram and summary of results such as mean, mode, median, maximum, and minimum. The paper also describes ways of applying descriptive statistical analysis to the Prospectus of this DNP project. Applying descriptive statistics in this project would also heighten the readers’ understanding of the simple analytical techniques used in analyzing DNP project data.
References
Grove, S. K., & Cipher, D. J. (2019). Statistics for nursing research-e-book: a workbook for evidence-based practice. Elsevier Health Sciences.
Heavey, E. (2022). Statistics for nursing: A practical approach. Jones & Bartlett Learning.
Kaur, P., Stoltzfus, J., & Yellapu, V. (2018). Descriptive statistics. International Journal of Academic Medicine, 4(1), 60. Doi: 10.4103/IJAM.IJAM_7_18
MacFarland, T. W., Yates, J. M., MacFarland, T. W., & Yates, J. M. (2021). Data Exploration, Descriptive Statistics, and Measures of Central Tendency. Using R for Biostatistics, 57-139. Doi: 10.1007/978-3-030-62404-0_2
Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS.
Shreffler, J., & Huecker, M. R. (2022). Exploratory data analysis: Frequencies, descriptive statistics, histograms, and boxplots. In StatPearls [Internet]. StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK557570/