Evaluate and provide examples of how hypothesis testing and confidence intervals are used together in health care research.
The word doing the work is together. A p value tells you whether an effect is distinguishable from chance; the interval tells you how big it might be, which is the question a clinician actually has.
Editorial process
Last reviewed · August 22, 2026
Together is the word, and it means they answer different questions
The instruction is that they are used together, so the post has to say what each supplies that the other does not. Hypothesis testing answers a yes or no question about whether an observed difference is distinguishable from chance under the null, and it returns a p value that says nothing about how large the difference is. A confidence interval reports a range of values compatible with the data, so it carries both the direction and the magnitude, and its width tells you how precise the estimate is. That is the pairing: significance without an interval tells a clinician that something happened but not whether it matters, and an interval without a test still lets you see whether it excludes the null value, which is why many journals now prefer intervals. Say that explicitly in the post, because it is the sentence the prompt is reaching for.
Make the workplace example concrete and let it show the pairing doing work. A fall-prevention bundle reduces falls per thousand patient days with a p value of 0.04 and an interval running from a trivial reduction to a large one; a hand hygiene initiative shows no significant difference but an interval so wide that a clinically important effect has not been excluded. Both of those are situations where reporting only the test would mislead the unit council deciding what to do, and that is the argument the prompt is looking for. Be careful with two common errors while you are at it: an interval that crosses the null value does not mean no effect, and a very large sample can make a clinically negligible difference statistically significant. Then handle the article requirement properly, since the brief bars articles used in a previous assignment or appearing in the topic materials, and check that both actually report intervals rather than p values alone.
Likely learning objectives
- State what a p value does and does not tell you.
- Explain what a confidence interval adds in direction, magnitude and precision.
- Interpret a wide interval around a non-significant result correctly.
- Select articles that meet the brief's originality and reporting requirements.
Assignment instructions
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Review every instruction before using the planning guidance that follows.
HLT 362 Topic 3 DQ 2 Evaluate and provide examples of how hypothesis testing and confidence intervals are used together in health care research. Evaluate and provide examples of how hypothesis testing and confidence intervals are used together in health care research. Provide a workplace example that illustrates your ideas. Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the Article Analysis: Part 2" template. Refer to the Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomized Controlled Trial, in conjunction with the Article Analysis Example 2, for an example of an article analysis. While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, 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 required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance. Quiz 2 Description: This cumulative quiz tests your understanding of concepts, terminology and statistical application presented in Topics 1-3. HLT 362 Topic 3 DQ 2 APA Writing Checklist Use this document as a checklist for each paper you will write throughout your GCU graduate program. Follow specific instructions indicated in the assignment and use this checklist to help ensure correct grammar and APA formatting. Refer to the APA resources available in the GCU Library and Student Success Center. ☐ APA paper template (located in the Student Success Center/Writing Center) is utilized for the correct format of the paper. APA style is applied, and format is correct throughout. ☐ The title page is present. APA format is applied correctly. There are no errors. ☐ The introduction is present. APA format is applied correctly. There are no errors. ☐ Topic is well defined. ☐ Strong thesis statement is included in the introduction of the paper. ☐ The thesis statement is consistently threaded throughout the paper and included in the conclusion. ☐ Paragraph development: Each paragraph has an introductory statement, two or three sentences as the body of the paragraph, and a transition sentence to facilitate the flow of information. The sections of the main body are organized to reflect the main points of the author. APA format is applied correctly. There are no errors. ☐ All sources are cited. APA style and format are correctly applied and are free from error. ☐ Sources are completely and correctly documented on a References page, as appropriate to assignment and APA style, and format is free of error. Scholarly Resources: Scholarly resources are written with a focus on a specific subject discipline and usually written by an expert in the same subject field. Scholarly resources are written for an academic audience. Examples of Scholarly Resources include: Academic journals, books written by experts in a field, and formally published encyclopedias and dictionaries. Peer-Reviewed Journals: Peer-reviewed journals are evaluated prior to publication by experts in the journal’s subject discipline. This process ensures that the articles published within the journal are academically rigorous and meet the required expectations of an article in that subject discipline. Empirical Journal Article: This type of scholarly resource is a subset of scholarly articles that reports the original finding of an observational or experimental research study. Common aspects found within an empirical article include: literature review, methodology, results, and discussion. Adapted from “Evaluating Resources: Defining Scholarly Resources,” located in Research Guides in the GCU Library. ☐ The writer is clearly in command of standard, written, academic English. Utilize writing resources such as Grammarly, LopesWrite report, and ThinkingStorm to check your writing.
Turn the brief into deliverables
- 01What hypothesis testing establishes.
- 02What a confidence interval adds.
- 03An explanation of how they are used together.
- 04A workplace example where reporting only the test would mislead.
- 05Two new health care articles using quantitative research.
- 06A note on the interpretation errors to avoid.
What each supplies, then a workplace example, then two articles
What the test establishes
Define the null, the p value and what it does not tell you.
What the assessor is likely looking for
An explicit statement that a p value carries no magnitude.
What the interval adds
Explain direction, magnitude and precision from the interval's width.
What the assessor is likely looking for
Width interpreted as precision rather than as uncertainty in general.
Used together
Show a case where the test alone would mislead a decision.
What the assessor is likely looking for
A decision that would go differently with the interval reported.
A workplace example
Give a specific clinical measure with a plausible result and interval.
What the assessor is likely looking for
A measure expressed as a rate with a denominator.
Two articles, checked
Select articles meeting the originality rule and reporting intervals.
What the assessor is likely looking for
Confirmation that the articles report intervals, not only p values.
Where the interpretation guidance is published
Recommended databases
- PubMed Central
- NCBI Bookshelf
- CINAHL
- GCU Library
Search sequence
- 1.Read a source on interpreting p values and intervals before writing.
- 2.Search for quantitative health care articles that report intervals explicitly.
- 3.Check each candidate against the topic materials to satisfy the originality rule.
- 4.Find one example where a non-significant result had a wide interval.
Reference shortlist
These are authoritative starting points, not a ready-made bibliography. A qualified reviewer must confirm that each source fits the assignment and supports the claim beside which it is cited.
Hypothesis Testing, P Values, Confidence Intervals, and Significance
StatPearls, NCBI Bookshelf · 2023
Hypothesis testing, p values, confidence intervals and significance, in one source.
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
European Journal of Epidemiology · 2016
A guide to misinterpretation of tests, intervals and power.
Exploratory Data Analysis: Frequencies, Descriptive Statistics, Histograms, and Boxplots
StatPearls, NCBI Bookshelf · 2026
Exploratory data analysis, for the descriptive work that precedes inference.
Relative Risk
StatPearls, NCBI Bookshelf · 2023
Relative risk, for an effect measure that is conventionally reported with an interval.
PRISMA, for how quantitative results are expected to be reported.
Before you post to the Topic 3 forum
Common mistakes
- Defining both separately and never showing them used together.
- Treating a non-significant result as evidence of no effect.
- Ignoring that a large sample can make a trivial difference significant.
- Choosing articles from the topic materials, which the brief excludes.
- Choosing articles that report only p values, so the pairing cannot be shown.
Submission checklist
- Have you said what each method supplies that the other does not?
- Does your workplace example show the pairing mattering?
- Is the wide-interval case addressed?
- Are both articles new and quantitative?
- Do both actually report confidence intervals?
Use this guide to plan and review your own work. Follow your institution's rules and read Brinevia's academic-integrity policy.
Written by
Maren Caldwell
MSN, RN, CNE
Medical-surgical nursing, pharmacology and NCLEX preparation
Maren is a registered nurse with over 15 years of clinical and educational experience in medical-surgical nursing. She writes on NCLEX preparation, patient care fundamentals, pharmacology and evidence-based practice.

Reviewed by
Dr. Tessa Redmond
DNP, RN, CNE
Evidence-based practice and clinical education
Tessa is a doctorally-prepared nurse educator. She reviews Brinevia content for clinical accuracy and alignment with current evidence-based guidelines.