How might inferential statistics be used in a valid and credible way?

You are a DNP-Prepared nurse tasked with evaluating patient care at your practice compared to patient care at affiliated practices. You have noticed that a key complaint from your patients concerns the wait times associated with each patient visit. Based on these complaints, you have decided to compare the wait times at your practice to the wait times at affiliated practices. After recording the wait times at each practice, for 50 individual patients at each practice, you are now prepared to analyze your data. What approach will you use to analyze the data?

In the scenario provided, you might decide to use, the Analysis of Variance (ANOVA) approach. “ANOVA is a statistical procedure that compares data between two or more groups or conditions to investigate the presence of differences between those groups on some continuous dependent variable” (Gray & Grove, 2020). ANOVA is often a recommended statistical technique, as it has low chance of error for determining differences between three or more groups.

For this Assignment, analyze the ANOVA statistics provided in the ANOVA Exercises SPSS Output document. Examine the results to determine the differences and reflect on how you would interpret these results.

Reference: Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.


Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.


Review the Week 5 ANOVA Exercises SPSS Output provided in this week’s Learning Resources.
Review the Learning Resources on how to interpret ANOVA results to determine differences.
Consider the results presented in the SPSS output and reflect on how you might interpret the results presented.
Summarize your interpretation of the ANOVA statistics provided in the Week 5 ANOVA Exercises SPSS Output document.
Note: Interpretation of the ANOVA output should include identification of the -value to determine whether the differences between the group means are statistically significant.
Be sure to accurately evaluate each of the results presented (descriiptives, ANOVA results, and multiple comparisons using post-hoc analysis)
Reminder: The College of Nursing requires that all papers submitted include a title page, introduction, summary, and references. The Sample Paper provided at the Walden Writing Center provides an example of those required elements (available at Links to an external site.). All papers submitted must use this formatting.

part 2
You are the DNP-prepared nurse responsible for overseeing staffing for the telehealth services provided at your practice. To determine the number of nurses that you might need for these services, you must determine how many patients might be interested in using the telehealth services versus the traditional clinical practice setting. For a week, you ask each patient visiting the practice his or her interest in setting up a visit via telehealth services. At the conclusion of the week, you use this data and reasoning to develop a statistic of the population interested in telehealth services. You have successfully used inferential statistics to help guide your decision-making for your practice.
The scenario outlined provides a random sampling and assumptions to develop a conclusion. With assumptions, and in this case, a small random sampling, this scenario is ripe with the possibility of error. However, how might inferential statistics be used in a valid and credible way?

The design of a study determines the validity of the results, and if done following appropriate techniques, inferential statistics can determine clear differences and help researchers to form conclusions. In your Discussion, you will focus on two forms of identifying differences in groups: t-tests and analysis of variance (ANOVA).
For this Discussion, review the Learning Resources and reflect on a healthcare issue of interest to find a research article in which to analyze the use of inferential statistical analysis. Reflect on how the study was comprised, the validity of the findings, and whether or not it increased the study’s application to EBP


Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.

Consider some of the important issues in healthcare delivery or nursing practice today. Bring to mind the topics to which you have been exposed through previous courses in your program of study, as well as any news items that have caught your attention recently. Select one topic to focus on for this Discussion.
Review journal, newspaper, and/or internet articles that may provide credible information on your selected topic. Then, select one research article to focus on for this Discussion that used inferential statistical analysis (either a -test or ANOVA) to study the topic.
With information from the Learning Resources in mind, evaluate the purpose and value of the research study discussed in your selected article and consider the following questions:
Who comprised the sample in this study?
What were the sources of data?
What inferential statistic was used to analyze the data collected (-test or ANOVA)?
What were the findings?
Ask yourself: How did using an inferential statistic bring value to the research study? Did it increase the study’s application to evidence-based practice?

Answer & Explanation
VerifiedSolved by verified expert
Inferential statistics is a powerful tool used to make inferences about a population based on a sample. Here are some ways to use inferential statistics in a valid and credible way:

Random sampling: To ensure a representative sample, it is important to use random sampling techniques. This means that each member of the population has an equal chance of being selected for the sample.

Sample size: The sample size should be large enough to be statistically signi

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Step-by-step explanation
ficant. This means that the sample size should be large enough to minimize the margin of error and to accurately represent the population.

Statistical tests: The statistical tests used should be appropriate for the research question and the data being analyzed. The results should be reported accurately and transparently.

Confidence intervals: Confidence intervals should be used to estimate the range of values that the true population parameter could fall within. This helps to account for the uncertainty in the sample and the potential for sampling error.

Interpretation of results: The results should be interpreted in the context of the research question and the limitations of the study. It is important to avoid making causal claims when only an association is observed.

By following these principles, inferential statistics can be used in a valid and credible way to make inferences about a population based on a sample.

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