| Course | IHP 525 Biostatistics |
|---|---|
| Module | Module 10 |
| Paper type | closing reflective journal on statistical judgment |
| Length | About 400 words, 3 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | MPH |
| Updated | September 2026 |
Free sample paper for IHP 525 Module 10
Module Ten Journal
The Number Was Never the Decision
When this term began, I thought of statistics as a set of machines: feed in data, pick the right test, read the verdict. My department had just shelved plans to expand our blood pressure program because the pilot's p-value was 0.07. I remember nodding in that meeting. Wasserstein and Lazar (2016) would have stopped me. Their summary of the American Statistical Association statement says a p-value measures how compatible the data are with a specified model and cannot by itself tell anyone whether an effect is real or important. Our pilot had found a 5-point drop, which is clinically worthwhile, and we treated it as nothing because it missed an arbitrary line.
The second lesson came when I calculated the pilot's power myself for Milestone Two and got roughly one in three. Button et al. (2013) explain that small studies not only miss real effects but also produce unstable estimates when they do reach significance. That changed how I see every small evaluation our department runs: a pilot of 60 people is a rough sketch, not a verdict. Gardner and Altman (1986) gave me the alternative, which is to state the likely size of an effect together with the precision of that estimate. When our full evaluation showed a 6-point benefit with a range of 4 to 8, the board could see both the promise and the uncertainty at once, and the conversation was calmer and more useful than the one a year earlier.
I also learned how many choices sit inside an analysis that looks objective: which covariates to include, how to treat missing readings, which cutoff defines control, which subgroups to examine. None of these is dictated by the data. Each one could have nudged the result, which is why writing the plan in advance felt less like bureaucracy and more like protection against my own hopes for the program.
I will carry three practices forward. I will write and date an analysis plan before I open any outcome data. I will lead every report with an effect size and its interval, leaving p-values for the appendix. And when someone calls a small study a failure, I will ask what its power was before agreeing. Statistics turned out to be a discipline of honest judgment, and the numbers are where that judgment starts, not where it ends.
References
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013). Power failure: Why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14(5), 365-376. https://doi.org/10.1038/nrn3475
Gardner, M. J., & Altman, D. G. (1986). Confidence intervals rather than P values: Estimation rather than hypothesis testing. BMJ, 292(6522), 746-750. https://doi.org/10.1136/bmj.292.6522.746
Wasserstein, R. L., & Lazar, N. A. (2016). The ASA statement on p-values: Context, process, and purpose. The American Statistician, 70(2), 129-133. https://doi.org/10.1080/00031305.2016.1154108
What the IHP 525 Module 10 instructions ask for
The closing IHP 525 Journal invites a backward glance at the whole term: where your statistical thinking started, where it stands now and what that shift means for your public health work. Write in the first person and aim for roughly 400 to 600 words, supported by two or three course readings cited in APA 7. Anchor the reflection in a specific moment, such as an analysis that surprised you or a result you once misread. Explain what you understand differently now and name concrete practices you will adopt, not general intentions to be more careful. IHP 525 graders notice clean headings in IHP 525 papers. IHP 525 names and dates need checking before IHP 525 submission. Keep the tone reflective, but make sure every statistical term you use is accurate.
How this IHP 525 Module 10 journal example is built
In this entry, a composite county analyst recalls a meeting where a pilot's p-value of 0.07 nearly ended a blood pressure program. Wasserstein and Lazar's statement on p-values explains the mistake. Calculating the pilot's power at about one in three connects to Button and colleagues on small studies, and Gardner and Altman's argument for estimation leads to reporting a 6-point benefit with its 4 to 8 range. The writer reflects on hidden analytic choices and closes with three practices: dated analysis plans, effect sizes first and asking about power before calling a study a failure. IHP 525 students can reuse this structure for IHP 525 work. IHP 525 claims here trace to cited IHP 525 sources. It also names the hidden choices inside any analysis, such as covariates, cutoffs and missing data.
Where the IHP 525 Module 10 rubric puts the points
Closing journals are usually marked on depth of reflection, a specific and honest example, accurate use of course concepts, clear links to readings, concrete commitments for practice and clean writing with APA 7 citations. Stronger entries show a genuine change in thinking and explain what caused it, rather than listing topics covered. Entries lose points when they summarize the syllabus, when statistical ideas are described loosely or incorrectly, or when the closing promises never say what the writer will actually do differently with the next data set. IHP 525 marks favor careful formatting across IHP 525 sections. IHP 525 citations keep every IHP 525 argument credible. Accurate language about p-values and power is often a quiet marker of real learning.
IHP 525 Module 10 help: the mistakes that cost points
This final journal often falls short when it reads like a course summary instead of a reflection, when readings are name-dropped without a clear connection to the writer's experience and when the closing commitments are too general to act on. Pick one real moment where your thinking shifted, explain the concept that changed it, cite the reading that helped and name specific habits. Send your own experiences and the IHP 525 journal prompt so the entry sounds like you. IHP 525 drafts start well from a IHP 525 outline. IHP 525 feedback already received guides IHP 525 revisions. Reading the entry aloud helps confirm it sounds personal rather than like a summary of the syllabus.
Get IHP 525 Module 10 written to your instructions
Share the IHP 525 closing journal prompt and a moment when your view of statistics changed. The entry will be written in your voice, link that turning point with IHP 525 readings, explain the shift and name practices worth keeping, within 24 to 48 hours, free the first time. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.
More IHP 525 papers and related MPH samples
- IHP 525 Module 1 Discussion: What a P-Value Can and Cannot Tell a Program Manager
- IHP 525 Module 2 Descriptive Statistics Paper: Describing Blood Pressure Data Without Throwing Information Away
- IHP 525 Module 3 Milestone One: Research Question, Variables and Data Plan
- IHP 525 Module 4 Hypothesis Testing Paper: A Two-Sample T-Test and a Chi-Square Test Worked Step by Step
- IHP 525 Module 5 Milestone Two: An Analysis Plan with Power, Multiple Comparisons and Missing Data
- IHP 525 Module 6 Diagnostic Tests Paper: Sensitivity, Specificity and Predictive Values for a Home Blood Pressure Device
- IHP 525 Module 7 Milestone Three: Regression Results Adjusted for Age, Sex and Baseline Pressure
- IHP 525 Module 8 Communication Paper: Explaining Statistical Uncertainty to Decision Makers
- IHP 525 Module 9 Final Project: The Statistical Report on the Community Blood Pressure Program
- IHP 510 Module 2 Audience Research Paper: Segmenting Adults Overdue for Colorectal Cancer Screening
- IHP 501 Module 2 Social Determinants Paper: Equity, Social Determinants and the Causes of the Causes
- IHP 515 Module 5 Milestone Two: Evidence on Naloxone Distribution and Treatment After Overdose
- IHP 505 Module 2 Microsystem Assessment Paper: A 5P Assessment of a Primary Care Clinic
IHP 525 Module 10 questions, answered
Where can I find a free IHP 525 Module 10 Journal sample?
IHP 525 Module 10 is shown in full here as a first-person reflection on p-values, small samples, estimation and the choices behind every analysis.
How long should the IHP 525 closing journal be?
Most prompts expect roughly 400 to 600 words with two or three course readings cited in APA 7.
What should a statistics reflection focus on?
One specific moment where your understanding changed, the concept behind it and the practice you will adopt as a result.
Can I use a work example in the journal?
Yes, as long as you remove identifying details and connect it to the course concepts and readings.
Why do instructors ask for concrete commitments?
Specific practices show that the learning will change what you do, which general promises cannot.