DNP 679 Biostatistics: Principles of Statistical Inference sample papers, module by module

Reviewed by Ingrid Vasterling, MSN, RN · Biostatistics: Principles of Statistical Inference · Arizona State University · Free custom samples in 24–48h

DNP 679 is the DNP’s biostatistics course, taught over a full semester with three campus immersions and Intellectus Statistics as the software. The samples here follow one composite family nurse practitioner student through every written item: the two post-immersion write-ups, the paired t-test, chi-square and one-way ANOVA assignments, the practice critique of a transitional care trial and the final critique of a nurse staffing study. Each module page carries a full sample built to the posted syllabus.

Send the exact assignment or rubric from your classroom and a custom sample written to it lands in 24 to 48 hours, the first one free. DNP 679 is ASU’s Biostatistics: Principles of Statistical Inference course. DNP 679 is a full-semester biostatistics course in ASU’s Doctor of Nursing Practice, covering measurement, descriptive statistics, hypothesis testing, t-tests, chi-square, correlation, ANOVA, regression and the evaluation of statistics in published research. Searches like "dnp 679 module 3 assignment example", "DNP679 sample paper", and "DNP 679 module samples" land on this page.

What DNP 679 is really about

The course runs 15 weeks with recorded lectures, two Zoom review sessions and three campus immersions, and students run every analysis in Intellectus on hypothetical datasets before writing it up.

Graded work is six five-question quizzes, two pass or fail post-immersion write-ups, three 10-point written assignments on the paired t-test, chi-square and one-way ANOVA, a pass or fail practice critique, a 40-point final critique and immersion attendance.

What DNP 679’s assessments ask for

The posted syllabus totals 130 points: quizzes 30, the final paper critique 40, the three written assignments 30, the two post-immersion assignments 10, the practice critique 5 and immersion attendance 15.

Where students lose points in DNP 679

Points slip when means are reported for nominal variables, when normality is tested on raw scores instead of paired differences, when chi-square is used with small expected counts, when post hoc tests are read without the omnibus result and when odds ratios are read as risks.

The DNP 679 drawers

Module 1

DNP 679 Module 1 assignment example

Descriptive statistics write-up: a composite DNP student describes the class's pooled Insomnia Severity Index data from 75 adults, classifying each variable by level of measurement, choosing the right summary for each, reporting the skewed severity scores with a median and interquartile range, tabulating severity categories and stating what a cross-sectional convenience sample can and cannot show. Full sample paper, read it free.

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Module 2

DNP 679 Module 2 assignment example

Independent t-test write-up: a composite DNP student tests whether shift workers in the class's pooled insomnia data score higher on the Insomnia Severity Index, reports a nonsignificant t-test with Levene's test, a confidence interval and Cohen's d, confirms it with a Mann-Whitney U test, comments on the instrument's reliability and validity and explains why 20 shift workers gave too little power. Full sample paper, read it free.

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Module 3

DNP 679 Module 3 assignment example

Paired t-test write-up: a composite DNP student analyzes hypothetical A1c values from 28 adults before and after a 12-week diabetes self-management group in a primary care clinic, checking the normality of the differences, reporting the paired t-test with its interval and effect size, confirming it with a Wilcoxon signed rank test and weighing statistical against clinical significance and the limits of a one-group design. Full sample paper, read it free.

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Module 4

DNP 679 Module 4 assignment example

Chi-square write-up: a composite DNP student tests whether influenza vaccination differed among 300 hypothetical clinic patients who received a text reminder, a patient portal message or no reminder, reporting the 3 x 2 table, expected counts, the chi-square statistic, Cramer's V and adjusted residuals, then uses Fisher's exact test for a 14-patient pregnancy subgroup with small expected counts. Full sample paper, read it free.

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Module 5

DNP 679 Module 5 assignment example

One-way ANOVA write-up: a composite DNP student compares 12-week systolic blood pressure change among 75 hypothetical patients with uncontrolled hypertension assigned to usual in-person follow-up, video visits or pharmacist-led care with home monitoring, reporting a significant F test with eta squared, Tukey comparisons that single out the pharmacist model, a confirming Kruskal-Wallis test and what the result means for a clinic's follow-up design. Full sample paper, read it free.

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Module 6

DNP 679 Module 6 assignment example

Practice paper critique: a composite DNP student evaluates the statistics in Naylor and colleagues' 1999 randomized trial of advanced practice nurse discharge planning and home follow-up for older adults, judging the design, sample, outcome measures and tests, recomputing the readmission difference as an absolute risk reduction with a confidence interval and number needed to treat, and questioning means for skewed hospital days. Full sample paper, read it free.

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Module 7

DNP 679 Module 7 assignment example

Final paper critique: a composite DNP student evaluates the statistics in Aiken and colleagues' 2002 study linking nurse staffing to surgical mortality, failure to rescue, burnout and job dissatisfaction in 168 Pennsylvania hospitals, judging the cross-sectional design, the linked data, the staffing measure, risk adjustment, clustering and logistic regression, translating odds ratios for readers and weighing what an observational association can support in staffing policy. Full sample paper, read it free.

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Using a DNP 679 sample the right way

Read a DNP 679 sample to see how a test is chosen, reported and interpreted. The course bars generative AI, so your own write-up must be your work.

How these samples are written

The DNP 679 samples use hypothetical datasets, as the course does, with every statistic computed so the numbers agree, and the two critiques use landmark published studies whose results a reader can check. Send your own output or assigned article for a sample built around it.

DNP 679 questions, answered

How is DNP 679 graded?

Out of 130 points, led by the 40-point final paper critique, six quizzes worth 30 and three 10-point written assignments.

What software does DNP 679 use?

Intellectus Statistics, used at home and on a laptop during the three campus immersions.

Are any DNP 679 assignments pass or fail?

Yes. The two post-immersion written assignments and the practice paper critique are graded pass or fail.