DNP 830 Working With Descriptive Statistics
University:
GCU
DNP 830 Working With Descriptive Statistics
Paper Instructions
Assessment Description
This course helps you develop a basic understanding of statistics. This course addresses two distinct types, descriptive and inferential statistics. In this assignment, you will use a software program that makes it easy to analyze data using specific tests. This assignment will give you practice with mean, median, mode, range, and standard deviation.
General Requirements
Use the following information to ensure successful completion of the assignment
Refer to the “Downloading and Installing SPSS for Doctoral Students” resource, located in the Class Resources, to download SPSS to your computer prior to beginning this assignment.
View the “Working with Descriptive Statistics” tutorial, located in the DNP-830A folder of the DNP PI Workspace.
Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
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.
Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.
Directions
After you have downloaded the SPSS program to your computer, completed the assigned readings, and viewed the assigned videos, use the data provided in the topic Resources, “HCUP State Inpatient Databases (SID) File Composition – Number of Discharges by Year,” and appropriate statistics to address the following
Determine the statistics for discharges in 2018 as follows Mean, Median, Mode, Standard Deviation, Minimum, and Maximum.
Describe the data distribution using the bell curve as follows Create a histogram with discharges (axis X) and frequencies (axis Y).
SPSS Output
Open SPSS and open a new database.
Go to the Variable View.
In the first row, label the name as State. Enter State as the Label Field. In the Values drop down, enter numerical values for each state label (e.g., 1 = AK, 2 = AR, etc.).
In rows 2 through 10, label the name as Year_2012 through Year_2020. Enter the applicable year (e.g., 2012, 2013, etc.) in the Label Field.
Go to the Data View and enter the data. Use numbers for the states in the first column. Enter the discharges for each applicable year (2012 – 2020) and align to the respective state. Save this data set. You will use this same data set in Topic 4.
Go to the menu and click Analyze. Click Descriptive Statistics, then click Frequencies, and add Year_2018 to the field. Click Statistics and click mean, median, mode, std. deviation, minimum, and maximum. Click continue. Click Charts and select Histograms. Click show normal curve on histogram. Click continue. Click OK. Review and save the Output.
Summary
Create a histogram of the discharges graphed. Determine if the data are normally distributed or skewed according to the bell curve. Write a 250-500-word summary of your analysis and results. Attach the histogram and the SPSS statistical output to the appendices of your paper.
Portfolio Practice Immersion Hours
It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper
Practice Immersion Hours Completion Statement DNP-830A
I, (INSERT NAME), verify that I have completed and logged (NUMBER OF) clock minutes/hours in association with the goals and objectives for this assignment. I also have tracked said practice immersion hours in the Lopes Activity Tracker for verification purposes and will be sure that all approvals are in place from my faculty and practice immersion preceptor/mentor before the end of the course.
Resources
- Collapse All ResourcesCollapse All
- Clinical Analytics and Data Management for the DNP
- Read Chapters 7, 8, and 13 in Clinical Analytics and Data Management for the DNP.
View Resource
Navigating Statistics for Successful Project Implementation
Read
Halm, M. (2020). Navigating statistics for successful project implementation. American Nurse Today, 15(1),
… Read More
- https //lopes.idm.oclc.org/login?url=https //search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141262263&site=ehost-live&scope=site&custid=s8333196&groupid=main&profile=ehost
Chapter 3 Descriptive Statistics
Read
Knapp, H. (2018). Chapter 3 Descriptive statistics. In Intermediate statistics using SPSS (pp. 45-76). SAGE P
… Read More
- https //methods-sagepub-com.lopes.idm.oclc.org/book/intermediate-statistics-using-spss/i1197.xml?fromsearch=true
Introduction to Nonparametric Methods
Read
Wienclaw, R. A. (2021). Introduction to nonparametric methods. Salem Press Encyclopedia.
- https //lopes.idm.oclc.org/login?url=https //search.ebscohost.com/login.aspx?direct=true&db=ers&AN=89163799&site=eds-live&scope=site&custid=s8333196&groupid=main&profile=eds1
An Introduction to Descriptive and Inferential Statistics
View
Almazan, E. (Academic). (2017). An introduction to descriptive and inferential statistics[Video]. SAGE Research Meth
… Read More
- https //lopes.idm.oclc.org/login?url=https //methods.sagepub.com/video/an-introduction-to-descriptive-and-inferential-statistics
Working in SPSS
View
Knapp, H. (Academic). (2016). Working in SPSS [Video]. SAGE Research Methods Video.
- https //lopes.idm.oclc.org/login?url=https //methods.sagepub.com/video/working-in-spss-tuto?seq=1
Descriptive Statistics, Categorical
View
Knapp, H. (Academic). (2016). Descriptive statistics, categorical [Video]. SAGE Research Methods Video.
- https //lopes.idm.oclc.org/login?url=https //methods.sagepub.com/video/descriptive-statistics-categorical-tuto
HCUP State Inpatient Databases (SID) File Composition – Number of Discharges by Year
Review the data on the HCUP webpage to complete the topic assignment
Healthcare Cost and Utilization Project. (2021). HCUP sta
… Read More
- https //hcup-us.ahrq.gov/db/state/siddist/siddist_discharge.jsp
Working With Descriptive Statistics
View the “Working With Descriptive Statistics” tutorial, located in the DNP-830A folder of the DNP PI Workspace for assistance in
… Read More
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Sample Answer
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.
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/
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