DNP Biostatistics Assignment

DNP Biostatistics Assignment

 Statistical Analysis of a Clinical Question

Objective: To apply biostatistical methods to a real-world clinical question relevant to advanced nursing practice.

Instructions:

Part 1: Define Your Clinical Question (PICO Format)

Develop a clearly defined clinical question using the PICO format (Population, Intervention, Comparison, Outcome).

Example: In adult patients with hypertension (P), how does a nurse-led lifestyle intervention (I) compared to usual care (C) affect blood pressure levels (O)?

Part 2: Select a Dataset

Use one of the following:

• A publicly available health dataset (e.g., CDC, NHANES, WHO)
• Simulated data provided by the instructor
• De-identified clinical data with appropriate IRB clearance

DNP Biostatistics Assignment

Part 3: Perform Descriptive Analysis

• Summarize key demographic variables
• Report measures of central tendency (mean, median) and variability (standard deviation, range)
• Create at least 2 visualizations (e.g., histogram, box plot, bar chart)

Part 4: Conduct Inferential Analysis

Choose an appropriate statistical test to answer your clinical question:

• T-test, chi-square, ANOVA, correlation, linear/logistic regression, etc.
• Justify your choice of test
• Report the test statistic, p-value, and interpret the result

Part 5: Interpretation and Clinical Relevance

Write a brief discussion (300–500 words) explaining:

• What the statistical findings mean in the context of your clinical question
• Implications for nursing practice or healthcare decision-making

Check tips on how to do your DNP PROJECT WRITING.

Deliverables:

• Typed report (5–7 pages), including tables/figures
• Appendix with code/output (if using statistical software like SPSS, R, or Excel

Fill in this sentence:

Contribute a minimum of (number) pages. It should include at least (number) academic sources, formatted and cited in APA.

Select a rubric that matches the requirements of the assignment.

DNP Biostatistics Assignment

Part 3: Perform Descriptive Analysis

• Summarize key demographic variables
• Report measures of central tendency (mean, median) and variability (standard deviation, range)
• Create at least 2 visualizations (e.g., histogram, box plot, bar chart)

Part 4: Conduct Inferential Analysis

Choose an appropriate statistical test to answer your clinical question:

• T-test, chi-square, ANOVA, correlation, linear/logistic regression, etc.
• Justify your choice of test
• Report the test statistic, p-value, and interpret the result

Part 5: Interpretation and Clinical Relevance

Write a brief discussion (300–500 words) explaining:

• What the statistical findings mean in the context of your clinical question
• Implications for nursing practice or healthcare decision-making